Using PLO(SC)²
This R-Markdown will guide you through an example analysis using PLO(SC)².
library("Seurat")Loading required package: SeuratObject
Loading required package: sp
Attaching package: ‘SeuratObject’
The following objects are masked from ‘package:base’:
intersect, tlibrary("PLOSC")
Reading in all files and automatically assigning sample names
files <- Sys.glob("T:/scdata/covid_sc_cellranger/h5files/*.h5")
inputMatrices = readH5Files(files, sample_element=5, sample_processor=function(x){return(substr(x, 1, 10))})[1] "20094_0001 T:/scdata/covid_sc_cellranger/h5files/20094_0001_A_B_raw_feature_bc_matrix.new.h5"Genome matrix has multiple modalities, returning a list of matrices for this genome[1] "WITH AB 20094_0001"
[1] "20094_0001 36601 x 6794880 genes x cells"
[1] "20094_0002 T:/scdata/covid_sc_cellranger/h5files/20094_0002_A_B_raw_feature_bc_matrix.new.h5"Genome matrix has multiple modalities, returning a list of matrices for this genome[1] "WITH AB 20094_0002"
[1] "20094_0002 36601 x 6794880 genes x cells"
[1] "20094_0003 T:/scdata/covid_sc_cellranger/h5files/20094_0003_A_B_raw_feature_bc_matrix.new.h5"Genome matrix has multiple modalities, returning a list of matrices for this genome[1] "WITH AB 20094_0003"
[1] "20094_0003 36601 x 6794880 genes x cells"
[1] "20094_0004 T:/scdata/covid_sc_cellranger/h5files/20094_0004_A_B_raw_feature_bc_matrix.new.h5"Genome matrix has multiple modalities, returning a list of matrices for this genome[1] "WITH AB 20094_0004"
[1] "20094_0004 36601 x 6794880 genes x cells"
[1] "20094_0005 T:/scdata/covid_sc_cellranger/h5files/20094_0005_A_B_raw_feature_bc_matrix.new.h5"Genome matrix has multiple modalities, returning a list of matrices for this genome[1] "WITH AB 20094_0005"
[1] "20094_0005 36601 x 6794880 genes x cells"
[1] "20094_0006 T:/scdata/covid_sc_cellranger/h5files/20094_0006_A_B_raw_feature_bc_matrix.new.h5"Genome matrix has multiple modalities, returning a list of matrices for this genome[1] "WITH AB 20094_0006"
[1] "20094_0006 36601 x 6794880 genes x cells"
[1] "20094_0007 T:/scdata/covid_sc_cellranger/h5files/20094_0007_A_B_raw_feature_bc_matrix.new.h5"Genome matrix has multiple modalities, returning a list of matrices for this genome[1] "WITH AB 20094_0007"
[1] "20094_0007 36601 x 6794880 genes x cells"
[1] "20094_0008 T:/scdata/covid_sc_cellranger/h5files/20094_0008_A_B_raw_feature_bc_matrix.new.h5"Genome matrix has multiple modalities, returning a list of matrices for this genome[1] "WITH AB 20094_0008"
[1] "20094_0008 36601 x 6794880 genes x cells"
[1] "20094_0009 T:/scdata/covid_sc_cellranger/h5files/20094_0009_A_B_raw_feature_bc_matrix.new.h5"Genome matrix has multiple modalities, returning a list of matrices for this genome[1] "WITH AB 20094_0009"
[1] "20094_0009 36601 x 6794880 genes x cells"
[1] "20094_0012 T:/scdata/covid_sc_cellranger/h5files/20094_0012_A_B_raw_feature_bc_matrix.new.h5"Genome matrix has multiple modalities, returning a list of matrices for this genome[1] "WITH AB 20094_0012"
[1] "20094_0012 36601 x 6794880 genes x cells"Transforms the inputMatrices into Seurat objects, and preprocesses these for 3000 highly variable genes.
objlist.raw = toObjList(inputMatrices, patternList_human(), 3000)[1] "Renaming Cells"
[1] "Seurat obj project 20094_0001"
[1] "Got a total of mt-Genes: 13 MT-ND1, MT-ND2, MT-CO1, MT-CO2, MT-ATP8, MT-ATP6"
[1] "Got a total of Rpl-Genes: 54 RPL22, RPL11, RPL5, RPL31, RPL37A, RPL32"
[1] "Got a total of Rps-Genes: 49 RPS6KA1, RPS8, RPS27, RPS6KC1, RPS7, RPS27A"
[1] "Got a total of Rp-Genes: 103 RPL22, RPL11, RPS6KA1, RPS8, RPL5, RPS27"
[1] "20094_0001"
An object of class Seurat
36601 features across 6794880 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "Renaming Cells"
[1] "Seurat obj project 20094_0002"
[1] "Got a total of mt-Genes: 13 MT-ND1, MT-ND2, MT-CO1, MT-CO2, MT-ATP8, MT-ATP6"
[1] "Got a total of Rpl-Genes: 54 RPL22, RPL11, RPL5, RPL31, RPL37A, RPL32"
[1] "Got a total of Rps-Genes: 49 RPS6KA1, RPS8, RPS27, RPS6KC1, RPS7, RPS27A"
[1] "Got a total of Rp-Genes: 103 RPL22, RPL11, RPS6KA1, RPS8, RPL5, RPS27"
[1] "20094_0002"
An object of class Seurat
36601 features across 6794880 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "Renaming Cells"
[1] "Seurat obj project 20094_0003"
[1] "Got a total of mt-Genes: 13 MT-ND1, MT-ND2, MT-CO1, MT-CO2, MT-ATP8, MT-ATP6"
[1] "Got a total of Rpl-Genes: 54 RPL22, RPL11, RPL5, RPL31, RPL37A, RPL32"
[1] "Got a total of Rps-Genes: 49 RPS6KA1, RPS8, RPS27, RPS6KC1, RPS7, RPS27A"
[1] "Got a total of Rp-Genes: 103 RPL22, RPL11, RPS6KA1, RPS8, RPL5, RPS27"
[1] "20094_0003"
An object of class Seurat
36601 features across 6794880 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "Renaming Cells"
[1] "Seurat obj project 20094_0004"
[1] "Got a total of mt-Genes: 13 MT-ND1, MT-ND2, MT-CO1, MT-CO2, MT-ATP8, MT-ATP6"
[1] "Got a total of Rpl-Genes: 54 RPL22, RPL11, RPL5, RPL31, RPL37A, RPL32"
[1] "Got a total of Rps-Genes: 49 RPS6KA1, RPS8, RPS27, RPS6KC1, RPS7, RPS27A"
[1] "Got a total of Rp-Genes: 103 RPL22, RPL11, RPS6KA1, RPS8, RPL5, RPS27"
[1] "20094_0004"
An object of class Seurat
36601 features across 6794880 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "Renaming Cells"
[1] "Seurat obj project 20094_0005"
[1] "Got a total of mt-Genes: 13 MT-ND1, MT-ND2, MT-CO1, MT-CO2, MT-ATP8, MT-ATP6"
[1] "Got a total of Rpl-Genes: 54 RPL22, RPL11, RPL5, RPL31, RPL37A, RPL32"
[1] "Got a total of Rps-Genes: 49 RPS6KA1, RPS8, RPS27, RPS6KC1, RPS7, RPS27A"
[1] "Got a total of Rp-Genes: 103 RPL22, RPL11, RPS6KA1, RPS8, RPL5, RPS27"
[1] "20094_0005"
An object of class Seurat
36601 features across 6794880 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "Renaming Cells"
[1] "Seurat obj project 20094_0006"
[1] "Got a total of mt-Genes: 13 MT-ND1, MT-ND2, MT-CO1, MT-CO2, MT-ATP8, MT-ATP6"
[1] "Got a total of Rpl-Genes: 54 RPL22, RPL11, RPL5, RPL31, RPL37A, RPL32"
[1] "Got a total of Rps-Genes: 49 RPS6KA1, RPS8, RPS27, RPS6KC1, RPS7, RPS27A"
[1] "Got a total of Rp-Genes: 103 RPL22, RPL11, RPS6KA1, RPS8, RPL5, RPS27"
[1] "20094_0006"
An object of class Seurat
36601 features across 6794880 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "Renaming Cells"
[1] "Seurat obj project 20094_0007"
[1] "Got a total of mt-Genes: 13 MT-ND1, MT-ND2, MT-CO1, MT-CO2, MT-ATP8, MT-ATP6"
[1] "Got a total of Rpl-Genes: 54 RPL22, RPL11, RPL5, RPL31, RPL37A, RPL32"
[1] "Got a total of Rps-Genes: 49 RPS6KA1, RPS8, RPS27, RPS6KC1, RPS7, RPS27A"
[1] "Got a total of Rp-Genes: 103 RPL22, RPL11, RPS6KA1, RPS8, RPL5, RPS27"
[1] "20094_0007"
An object of class Seurat
36601 features across 6794880 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "Renaming Cells"
[1] "Seurat obj project 20094_0008"
[1] "Got a total of mt-Genes: 13 MT-ND1, MT-ND2, MT-CO1, MT-CO2, MT-ATP8, MT-ATP6"
[1] "Got a total of Rpl-Genes: 54 RPL22, RPL11, RPL5, RPL31, RPL37A, RPL32"
[1] "Got a total of Rps-Genes: 49 RPS6KA1, RPS8, RPS27, RPS6KC1, RPS7, RPS27A"
[1] "Got a total of Rp-Genes: 103 RPL22, RPL11, RPS6KA1, RPS8, RPL5, RPS27"
[1] "20094_0008"
An object of class Seurat
36601 features across 6794880 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "Renaming Cells"
[1] "Seurat obj project 20094_0009"
[1] "Got a total of mt-Genes: 13 MT-ND1, MT-ND2, MT-CO1, MT-CO2, MT-ATP8, MT-ATP6"
[1] "Got a total of Rpl-Genes: 54 RPL22, RPL11, RPL5, RPL31, RPL37A, RPL32"
[1] "Got a total of Rps-Genes: 49 RPS6KA1, RPS8, RPS27, RPS6KC1, RPS7, RPS27A"
[1] "Got a total of Rp-Genes: 103 RPL22, RPL11, RPS6KA1, RPS8, RPL5, RPS27"
[1] "20094_0009"
An object of class Seurat
36601 features across 6794880 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "Renaming Cells"
[1] "Seurat obj project 20094_0012"
[1] "Got a total of mt-Genes: 13 MT-ND1, MT-ND2, MT-CO1, MT-CO2, MT-ATP8, MT-ATP6"
[1] "Got a total of Rpl-Genes: 54 RPL22, RPL11, RPL5, RPL31, RPL37A, RPL32"
[1] "Got a total of Rps-Genes: 49 RPS6KA1, RPS8, RPS27, RPS6KC1, RPS7, RPS27A"
[1] "Got a total of Rp-Genes: 103 RPL22, RPL11, RPS6KA1, RPS8, RPL5, RPS27"
[1] "20094_0012"
An object of class Seurat
36601 features across 6794880 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, dataThe input matrices (in the example case these contain all cells) are filtered: 100 < nFeature_RNA < 6000, nCount_RNA > 500 and percent_mt < 7.
objlist = scatterAndFilter(objlist.raw, nfeature_rna.lower=100, nfeature_rna.upper=6000, ncount_rna.lower=500, percent_mt.upper=7, plot=FALSE, plot.after=TRUE)An object of class Seurat
36601 features across 2534 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
An object of class Seurat
36601 features across 2143 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
An object of class Seurat
36601 features across 1969 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
An object of class Seurat
36601 features across 884 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
An object of class Seurat
36601 features across 1202 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
An object of class Seurat
36601 features across 198 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
An object of class Seurat
36601 features across 490 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
An object of class Seurat
36601 features across 1037 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
An object of class Seurat
36601 features across 766 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
An object of class Seurat
36601 features across 3449 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "20094_0001"
[1] "_20094_0001_filtered_violins_qc 10 6"
[1] "Saving to file _20094_0001_filtered_violins_qc.png"
[1] "Saving to file _20094_0001_filtered_violins_qc.pdf"
[1] "Saving to file _20094_0001_filtered_violins_qc.svg"
[1] "Saving to file _20094_0001_filtered_violins_qc.data"
[1] "_20094_0001_filtered_scatter_ncount_mt 10 6"
[1] "Saving to file _20094_0001_filtered_scatter_ncount_mt.png"
[1] "Saving to file _20094_0001_filtered_scatter_ncount_mt.pdf"
[1] "Saving to file _20094_0001_filtered_scatter_ncount_mt.svg"
[1] "Saving to file _20094_0001_filtered_scatter_ncount_mt.data"
[1] "_20094_0001_filtered_scatter_ncount_rp 10 6"
[1] "Saving to file _20094_0001_filtered_scatter_ncount_rp.png"
[1] "Saving to file _20094_0001_filtered_scatter_ncount_rp.pdf"
[1] "Saving to file _20094_0001_filtered_scatter_ncount_rp.svg"
[1] "Saving to file _20094_0001_filtered_scatter_ncount_rp.data"
[1] "20094_0002"
[1] "_20094_0002_filtered_violins_qc 10 6"
[1] "Saving to file _20094_0002_filtered_violins_qc.png"
[1] "Saving to file _20094_0002_filtered_violins_qc.pdf"
[1] "Saving to file _20094_0002_filtered_violins_qc.svg"
[1] "Saving to file _20094_0002_filtered_violins_qc.data"
[1] "_20094_0002_filtered_scatter_ncount_mt 10 6"
[1] "Saving to file _20094_0002_filtered_scatter_ncount_mt.png"
[1] "Saving to file _20094_0002_filtered_scatter_ncount_mt.pdf"
[1] "Saving to file _20094_0002_filtered_scatter_ncount_mt.svg"
[1] "Saving to file _20094_0002_filtered_scatter_ncount_mt.data"
[1] "_20094_0002_filtered_scatter_ncount_rp 10 6"
[1] "Saving to file _20094_0002_filtered_scatter_ncount_rp.png"
[1] "Saving to file _20094_0002_filtered_scatter_ncount_rp.pdf"
[1] "Saving to file _20094_0002_filtered_scatter_ncount_rp.svg"
[1] "Saving to file _20094_0002_filtered_scatter_ncount_rp.data"
[1] "20094_0003"
[1] "_20094_0003_filtered_violins_qc 10 6"
[1] "Saving to file _20094_0003_filtered_violins_qc.png"
[1] "Saving to file _20094_0003_filtered_violins_qc.pdf"
[1] "Saving to file _20094_0003_filtered_violins_qc.svg"
[1] "Saving to file _20094_0003_filtered_violins_qc.data"
[1] "_20094_0003_filtered_scatter_ncount_mt 10 6"
[1] "Saving to file _20094_0003_filtered_scatter_ncount_mt.png"
[1] "Saving to file _20094_0003_filtered_scatter_ncount_mt.pdf"
[1] "Saving to file _20094_0003_filtered_scatter_ncount_mt.svg"
[1] "Saving to file _20094_0003_filtered_scatter_ncount_mt.data"
[1] "_20094_0003_filtered_scatter_ncount_rp 10 6"
[1] "Saving to file _20094_0003_filtered_scatter_ncount_rp.png"
[1] "Saving to file _20094_0003_filtered_scatter_ncount_rp.pdf"
[1] "Saving to file _20094_0003_filtered_scatter_ncount_rp.svg"
[1] "Saving to file _20094_0003_filtered_scatter_ncount_rp.data"
[1] "20094_0004"
[1] "_20094_0004_filtered_violins_qc 10 6"
[1] "Saving to file _20094_0004_filtered_violins_qc.png"
[1] "Saving to file _20094_0004_filtered_violins_qc.pdf"
[1] "Saving to file _20094_0004_filtered_violins_qc.svg"
[1] "Saving to file _20094_0004_filtered_violins_qc.data"
[1] "_20094_0004_filtered_scatter_ncount_mt 10 6"
[1] "Saving to file _20094_0004_filtered_scatter_ncount_mt.png"
[1] "Saving to file _20094_0004_filtered_scatter_ncount_mt.pdf"
[1] "Saving to file _20094_0004_filtered_scatter_ncount_mt.svg"
[1] "Saving to file _20094_0004_filtered_scatter_ncount_mt.data"
[1] "_20094_0004_filtered_scatter_ncount_rp 10 6"
[1] "Saving to file _20094_0004_filtered_scatter_ncount_rp.png"
[1] "Saving to file _20094_0004_filtered_scatter_ncount_rp.pdf"
[1] "Saving to file _20094_0004_filtered_scatter_ncount_rp.svg"
[1] "Saving to file _20094_0004_filtered_scatter_ncount_rp.data"
[1] "20094_0005"
[1] "_20094_0005_filtered_violins_qc 10 6"
[1] "Saving to file _20094_0005_filtered_violins_qc.png"
[1] "Saving to file _20094_0005_filtered_violins_qc.pdf"
[1] "Saving to file _20094_0005_filtered_violins_qc.svg"
[1] "Saving to file _20094_0005_filtered_violins_qc.data"
[1] "_20094_0005_filtered_scatter_ncount_mt 10 6"
[1] "Saving to file _20094_0005_filtered_scatter_ncount_mt.png"
[1] "Saving to file _20094_0005_filtered_scatter_ncount_mt.pdf"
[1] "Saving to file _20094_0005_filtered_scatter_ncount_mt.svg"
[1] "Saving to file _20094_0005_filtered_scatter_ncount_mt.data"
[1] "_20094_0005_filtered_scatter_ncount_rp 10 6"
[1] "Saving to file _20094_0005_filtered_scatter_ncount_rp.png"
[1] "Saving to file _20094_0005_filtered_scatter_ncount_rp.pdf"
[1] "Saving to file _20094_0005_filtered_scatter_ncount_rp.svg"
[1] "Saving to file _20094_0005_filtered_scatter_ncount_rp.data"
[1] "20094_0006"
[1] "_20094_0006_filtered_violins_qc 10 6"
[1] "Saving to file _20094_0006_filtered_violins_qc.png"
[1] "Saving to file _20094_0006_filtered_violins_qc.pdf"
[1] "Saving to file _20094_0006_filtered_violins_qc.svg"
[1] "Saving to file _20094_0006_filtered_violins_qc.data"
[1] "_20094_0006_filtered_scatter_ncount_mt 10 6"
[1] "Saving to file _20094_0006_filtered_scatter_ncount_mt.png"
[1] "Saving to file _20094_0006_filtered_scatter_ncount_mt.pdf"
[1] "Saving to file _20094_0006_filtered_scatter_ncount_mt.svg"
[1] "Saving to file _20094_0006_filtered_scatter_ncount_mt.data"
[1] "_20094_0006_filtered_scatter_ncount_rp 10 6"
[1] "Saving to file _20094_0006_filtered_scatter_ncount_rp.png"
[1] "Saving to file _20094_0006_filtered_scatter_ncount_rp.pdf"
[1] "Saving to file _20094_0006_filtered_scatter_ncount_rp.svg"
[1] "Saving to file _20094_0006_filtered_scatter_ncount_rp.data"
[1] "20094_0007"
[1] "_20094_0007_filtered_violins_qc 10 6"
[1] "Saving to file _20094_0007_filtered_violins_qc.png"
[1] "Saving to file _20094_0007_filtered_violins_qc.pdf"
[1] "Saving to file _20094_0007_filtered_violins_qc.svg"
[1] "Saving to file _20094_0007_filtered_violins_qc.data"
[1] "_20094_0007_filtered_scatter_ncount_mt 10 6"
[1] "Saving to file _20094_0007_filtered_scatter_ncount_mt.png"
[1] "Saving to file _20094_0007_filtered_scatter_ncount_mt.pdf"
[1] "Saving to file _20094_0007_filtered_scatter_ncount_mt.svg"
[1] "Saving to file _20094_0007_filtered_scatter_ncount_mt.data"
[1] "_20094_0007_filtered_scatter_ncount_rp 10 6"
[1] "Saving to file _20094_0007_filtered_scatter_ncount_rp.png"
[1] "Saving to file _20094_0007_filtered_scatter_ncount_rp.pdf"
[1] "Saving to file _20094_0007_filtered_scatter_ncount_rp.svg"
[1] "Saving to file _20094_0007_filtered_scatter_ncount_rp.data"
[1] "20094_0008"
[1] "_20094_0008_filtered_violins_qc 10 6"
[1] "Saving to file _20094_0008_filtered_violins_qc.png"
[1] "Saving to file _20094_0008_filtered_violins_qc.pdf"
[1] "Saving to file _20094_0008_filtered_violins_qc.svg"
[1] "Saving to file _20094_0008_filtered_violins_qc.data"
[1] "_20094_0008_filtered_scatter_ncount_mt 10 6"
[1] "Saving to file _20094_0008_filtered_scatter_ncount_mt.png"
[1] "Saving to file _20094_0008_filtered_scatter_ncount_mt.pdf"
[1] "Saving to file _20094_0008_filtered_scatter_ncount_mt.svg"
[1] "Saving to file _20094_0008_filtered_scatter_ncount_mt.data"
[1] "_20094_0008_filtered_scatter_ncount_rp 10 6"
[1] "Saving to file _20094_0008_filtered_scatter_ncount_rp.png"
[1] "Saving to file _20094_0008_filtered_scatter_ncount_rp.pdf"
[1] "Saving to file _20094_0008_filtered_scatter_ncount_rp.svg"
[1] "Saving to file _20094_0008_filtered_scatter_ncount_rp.data"
[1] "20094_0009"
[1] "_20094_0009_filtered_violins_qc 10 6"
[1] "Saving to file _20094_0009_filtered_violins_qc.png"
[1] "Saving to file _20094_0009_filtered_violins_qc.pdf"
[1] "Saving to file _20094_0009_filtered_violins_qc.svg"
[1] "Saving to file _20094_0009_filtered_violins_qc.data"
[1] "_20094_0009_filtered_scatter_ncount_mt 10 6"
[1] "Saving to file _20094_0009_filtered_scatter_ncount_mt.png"
[1] "Saving to file _20094_0009_filtered_scatter_ncount_mt.pdf"
[1] "Saving to file _20094_0009_filtered_scatter_ncount_mt.svg"
[1] "Saving to file _20094_0009_filtered_scatter_ncount_mt.data"
[1] "_20094_0009_filtered_scatter_ncount_rp 10 6"
[1] "Saving to file _20094_0009_filtered_scatter_ncount_rp.png"
[1] "Saving to file _20094_0009_filtered_scatter_ncount_rp.pdf"
[1] "Saving to file _20094_0009_filtered_scatter_ncount_rp.svg"
[1] "Saving to file _20094_0009_filtered_scatter_ncount_rp.data"
[1] "20094_0012"
[1] "_20094_0012_filtered_violins_qc 10 6"
[1] "Saving to file _20094_0012_filtered_violins_qc.png"
[1] "Saving to file _20094_0012_filtered_violins_qc.pdf"
[1] "Saving to file _20094_0012_filtered_violins_qc.svg"
[1] "Saving to file _20094_0012_filtered_violins_qc.data"
[1] "_20094_0012_filtered_scatter_ncount_mt 10 6"
[1] "Saving to file _20094_0012_filtered_scatter_ncount_mt.png"
[1] "Saving to file _20094_0012_filtered_scatter_ncount_mt.pdf"
[1] "Saving to file _20094_0012_filtered_scatter_ncount_mt.svg"
[1] "Saving to file _20094_0012_filtered_scatter_ncount_mt.data"
[1] "_20094_0012_filtered_scatter_ncount_rp 10 6"
[1] "Saving to file _20094_0012_filtered_scatter_ncount_rp.png"
[1] "Saving to file _20094_0012_filtered_scatter_ncount_rp.pdf"
[1] "Saving to file _20094_0012_filtered_scatter_ncount_rp.svg"
[1] "Saving to file _20094_0012_filtered_scatter_ncount_rp.data"Number of remaining cells per experiment
print("cells per experiment")[1] "cells per experiment"print(mapply(sum, lapply(objlist, function(x) {dim(x)[2]})))20094_0001 20094_0002 20094_0003 20094_0004 20094_0005 20094_0006 20094_0007 20094_0008 20094_0009 20094_0012
2534 2143 1969 884 1202 198 490 1037 766 3449 print("total cells")[1] "total cells"print(sum(mapply(sum, lapply(objlist, function(x) {dim(x)[2]}))))[1] 14672The raw input files are not needed anymore and deleted to save some RAM.
objlist.raw = NULL
inputMatrices = NULL
The different libraries are meant to be integrated/batch removed. This step is prepared here, by first estimating cell-cycle per cell, calculating 3000 highly variable features and regressing out the cell-cycle genes in 3000 scaled genes (which are also those used for the integrating the datasets.)
finalList = prepareIntegration(objlist, cc.use.genes = cc.genes, nfeatures.variable = 3000, nfeatures.scale=3000, run.parallel=FALSE)[1] "cells per experiment"
20094_0001 20094_0002 20094_0003 20094_0004 20094_0005 20094_0006 20094_0007 20094_0008 20094_0009 20094_0012
2534 2143 1969 884 1202 198 490 1037 766 3449
[1] "total cells"
[1] 14672
[1] "Seurat obj project 20094_0001"
[1] "Seurat obj project 20094_0002"
[1] "Seurat obj project 20094_0003"
[1] "Seurat obj project 20094_0004"
[1] "Seurat obj project 20094_0005"
[1] "Seurat obj project 20094_0006"
[1] "Seurat obj project 20094_0007"
[1] "Seurat obj project 20094_0008"
[1] "Seurat obj project 20094_0009"
[1] "Seurat obj project 20094_0012"
[1] "SelectIntegrationFeatures"
[1] "Seurat obj project 20094_0001"
An object of class Seurat
36601 features across 2534 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "CellCycle 42 52"Regressing out percent.rp, percent.mt, nCount_RNA, S.Score, G2M.Score
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Centering and scaling data matrix
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Warning: The following features were not available: IGLV6-57, HAMP, UCHL1, NPIPB15, OLIG2, PDGFA, TRH, GATA2, IL22, LINC01644, AC009630.4, ATP5MC1, TNFSF15, AC106712.1, EGFL7, AL160408.3, LINC01825, IGHV1-69, TTC23, AC135050.3, IGLV4-69, TNS4, AC090409.1, MAP1S, HBG2, HSPA1B, CXCL14, FGF18, AC069368.2, RBPMS, PRELID3A, DDX39B-AS1, RNF112, FLRT2, DCPS, KRT17, DNAJA4, CHAC1, MGARP, CTTN, AC067930.8, LINC00891, STK38L, PGLYRP2, GCSH, LINC01220, TMEM236, ADAM12, NOVA1, AL023881.1, WTIP, AL031666.1, LDB2, WWC2, IGHV3-43, OPLAH, NPIPA2, PLAT, SAMD7, OTOA, SCART1, MSRB3, IL27, PNPLA1, DLL1, HSPA6, HSPA1A, AC026367.3, AC015917.2, AC003101.2, ZNF491, AL353746.1, EMP2, ZNF215, GMPR, NPM3, SDC1, VASH1, CT70, IATPR, CBX2, EFCAB14-AS1, CSF2, TNFSF11, DNAH17-AS1, TP73, DDN, SLC12A5, GALR3, AC092756.1, AL353593.1, LINC00599, FOXC1, LINC02363, ABCA9, OR2T11, AC009951.6, AC099332.1, ALDH1L2, ANKRD23, AC092053.2, STARD13, GPR42, LAIR1, AC004130.2, AKR1C1, TAL1, TRMT9B, ITPRIP-AS1, DOCK1, CFAP54, IGHV5-51, IGHV3-74, CYP4F3, SYNJ2, IGKV1-39, KLK4, WNT11, RGS12, INPP5F, MELTF, INAFM2, ITGAV, IRAK2, WNT10A, MALT1, CLIP2, SYT17, AC104170.1, AC131097.1, EXTL3-AS1, ELOVL3, CCDC15-DT, LINC00346, HOXB6, ANKRD30B, GPR157, NOTCH1, AC110611.2, LRRC32, AC131009.2, AC064801.1, ST18, NPIPB6, AHSA1, CACNB2, EBNA1BP2, AVP, REPS2, COL23A1, SPAG9, AL109917.1, OVGP1, HMCN1, LINC00862, CHIT1, TGFB2, BX323046.2, SFTPB, AC097359.3, PROS1, LNP1, IMPG2, LINC00886, AC078795.2, MELTF-AS1, TKTL2, AC010280.2, SMAD5-AS1, CDC25C, FAXDC2, AL138720.1, PNLDC1, AC091729.1, HOXA10-AS, AC244472.1, AC104964.4, MTUS1, CNGB3, GML, ANGPTL2, AL592211.1, DRGX, LINC02666, ZNF705E, KDM4D, TLCD5, GLB1L3, SPX, CLIP1-AS1, C1QTNF9, AL138689.2, TRAV13-1, LTBP2, PROX2, IGHV3-15, IGHV4-39, AC020661.3, LINC00923, FAM169B, AC015712.1, NPW, AC002550.1, MYLK3, CCDC144NL-AS1, C17orf113, RND2, AC138150.2, AC139530.3, AC022960.2, LINC01909, RASIP1, AC018755.5, C19orf18, ZNF132, LINC00237, AL031055.1, CDH26, AP001442.1, AC006946.2, CECR2, IGLV2-11, APOL4, AC232271.2, AC245140.1, IL9R, LINC01679, MPO, DNASE1L1, DUSP18, ATOX1, DCUN1D3, ENG, AC020651.2, NRCAM, WSCD1, ZNF706, TSPAN3, AC025580.2, ZNF256, IL4I1, SFT2D3, LINC01128, PRMT1, MAGEH1, DDX60L, COL8A2, PRMT5, SRXN1, DNAJB9, RRM2B, FAM3C, CPB2-AS1, HRH1, AC005082.1, TNFRSF10C, WNT5B, MIR133A1HG, RBFADN, AP001347.1, MMP2, PLIN5, ETV3, IGSF9B, ODF3L1, AC009152.6, AL137186.2, AMOTL1, PTPRB, FAM124A, CRK, MTDH, CDC42EP2, GABRR2, GP1BA, PRICKLE2, CYP1A1, PODNL1, AL139099.1, ANKRD33B, GEM, IRAK1, C2orf88, CHAC2, SEPHS1, USP44, ANKRD65, Z98257.1, ALPL, SFN, LINC01715, LINC01144, CYP4A22-AS1, ANXA9, TCHH, IQGAP3, FCRL4, SLC30A3, LINC01833, DCTN1-AS1, SCN2A, AC007163.1, CHL1, AC097639.1, TRIM71, SLC22A14, IL17RB, WNT5A, PTPRG-AS1, TMEM45A, ZBED2, RARRES1, LINC02026, AC108210.1, LEF1-AS1, LINC00461, MATR3, FAM153A, AL512308.1, AL121936.1, GLP1R, LCA5, PAPOLB, ETV1, COBL, CALN1, AC003092.1, AC073326.1, AC021678.2, CASC11, AL353795.2, BX255923.1, ARMC3, LNCAROD, SNCG, FFAR4, AC091564.6, LINC02733, AP003071.1, CARD17, AC092111.1, KRT74, AC083806.2, AL445985.2, AL358334.2, AC051619.5, AC092757.3, NUPR1, AC106886.3, AC135012.1, AC106745.1, DNAH2, AC005358.2, AC023043.1, MIR924HG, HMSD, AC016586.1, APOC1, C19orf81, DUSP15, AL034550.1, EPB41L1, OGFR-AS1, CYYR1, CRYBB1, PPP1R2C, AC231533.1, IGHV1-24, TMEM52B, SPART, PRKAG2, STK24, SLC8B1, LINC00989, LCN2, EGR4, AL592429.2, PPFIBP1, LINC00565, AC009962.1, CDS1, LYNX1, LINC02709, Z97192.1, HIST1H3H, SLC22A18AS, LSR, CTTNBP2NL, LPAR3, AL512306.2, C19orf57, Z93241.1, CAMKK1, CYCS, TBC1D2, TCTN1, KMO, C6orf223, IL7, TLNRD1, PLCB2, GDF7, GTSF1, B4GALT5, AC106897.1, ELMSAN1, NCOR2, LINC01215, TMEM52, AUNIP, RIMKLA, AL606760.2, GPR161, AC096642.1, AC007365.1, ATOH8, TNNC1, LINC01063, ABCG2, AC096564.2, AC107071.1, AC109347.2, MFAP3L, AC099343.2, LINC02145, SELENOP, ANKDD1B, AC008522.1, AC116366.2, ABLIM3, AC139795.3, LINC00951, TREML4, C6orf99, AC092171.4, CCL26, AC002429.2, AC011676.1, AC233992.3, SLC28A3, HEMGN, ZNF462, C9orf116, CCDC183-AS1, MRLN, SLC18A2, DPYSL4, LINC01537, AP001318.2, U47924.2, AICDA, CLEC1B, AC068792.1, KRT18, KIF5A, AC025569.1, AC073655.2, CFAP73, AC068790.9, GRTP1, LINC01297, KLHL33, ZFHX2, AC138649.1, AC106028.4, IGFALS, KREMEN2, AC008551.1, AC010536.3, SPNS2, AC004771.1, RCVRN, RDM1, AC006449.2, HOXB-AS3, SMIM6, AC110285.5, AC105105.1, AC090360.1, PEX11G, AC022098.4, CRLF1, ZNF541, AC006942.1, AJ009632.2, CRYBA4, SLC16A8, MAPK12, SELP, PLA2G4A, AC019069.1, AL356417.3, AP003469.4, LKAAEAR1, MILR1, L1TD1, FFAR1, IGKV3-11, AL356481.1, GUCY1B1, TSHR, AC116667.1, TUSC1, TUBB4A, SNX8, P2RY1, GZF1, TMEM217, AL118516.1, LMOD3, FGF9, SLC9A3R2, AC008443.5, PSRC1, C2orf15, IL19, FHOD1, SESN2, ZCWPW1, CMTM7, ELL, CDC42BPB, CTNND1, CHDH, AL357054.4, OXCT2, KCTD20, GALNT6, TOR4A, ZNRF1, YJEFN3, CCDC71L, HYI, BASP1-AS1, RNF208, PNMA3, C17orf107, PSMD3, COMT, SERP1, CLCA4-AS1, GPR17, TMEM150C, FOXQ1, AL355312.4, FBXO16, CDH1, AL121933.2, DNAJB4, SIGLEC9, TOR3A, CHRNE, MACORIS, OLFML2B, WEE2-AS1, AC091814.1, LRRC43, CAVIN1, IQCC, AC027575.2, COL9A3, TOP1, IFI35, PCBP1, IPMK, ECE1, FUCA2, ITGB2-AS1, PSMB6, AC073389.2, ZNF396, SSTR3, STRIP2, AC145285.2, FGFRL1, CLIC1, CCT8, CISD1, ARHGAP22, NRIR, NCKAP5L, TIMM13, SDCCAG8, PITPNA, FADS3, ARHGAP27, ZDBF2, FASLG, AL110114.1, GNA12, SC5D, SPNS3, MDM2, C1orf127, RGS5, PCAT6, LGALS8-AS1, BX323046.1, GALNT14, AC092652.2, AC110619.1, LINC02033, AC099332.2, AC073352.2, YEATS2-AS1, ESM1, HIST1H4B, OCM, AC087071.1, AC016831.6, TRBV2, AC027702.1, AC100814.1, AL359091.5, DIP2C, AL157392.4, AL138762.1, AL121929.3, NLRP6, AP001189.1, FAIM2, AC025165.2, TRPV4, AC069503.1, AC023906.5, ADAMTSL3, AC023024.1, WASIR2, LINC00235, NHLRC4, DNASE1L2, AC009133.4, PITPNM3, DCXR-DT, CPT1C, AC010327.7, AL390037.1, AL035661.1, AF129075.2, AP000238.1, TBX1, AP000553.2, HIST1H2BD, IFNGR1, AGO2, STIM2-AS1, TBC1D12, NLN, HSD17B10, NR1D1, TNFSF8, RPS17, ZNF593, ATAD3B, IGLV3-25, SPTSSA, PARVG, NUAK2, WIPI1, FMOD, LINC00467, EIF2AK3, CNN3, SH3D21, LFNG, BX890604.2, SGMS1, AC079305.3, AL359198.1, FAM174B, GRIN2C, AC025449.2, AL355304.1, B9D1, CPAMD8, EIF4E, MRPS30-DT, NOS3, KRT72, ABHD1, LINC01816, CPE, RHOBTB1, ABCC2, DNM3, AC098483.1, AC091045.1, FAM92B, KIAA0040, TNFAIP8L1, TNFRSF10B, SH2D3C, MEIS2, SLC22A5, COL13A1, LINC02132, SERINC2, CEP72, AL137003.2, CCDC152, LAMTOR2, ELK3, BEX2, GFOD1, WNT3, CCT7, PHB2, MRPL22, CCDC173, SHF, SLC39A4, BIK, RTN4, SYNE3, TPCN2, PLD1, AKAP5, PDHA1, ADGRG3, CSTF2, ZNF267, ARL4D, PPCDC, KCTD15, STARD7-AS1, NIPSNAP3B, LINGO2, ANP32A, PIK3CG, CALU, AC008074.2, SLC35G1, VASN, BCO2, AC111182.1, RASGRF2, SFXN4, NAF1, LONRF3, IKZF4, PYROXD2, GAS1, ESAM, C12orf60, ITGB1-DT, AVIL, AC027514.1, AATBC, SFXN3, ATF7IP2, PPP1R3B, ARRDC3, GAS5, PRXL2B, AC090204.1, SMIM4, SPAG5, CASP9, TUFM, RETREG1, DNASE2, ANXA3, GDPD1, BOLA3, NQO2, AC112220.2, FAM87B, CTRC, CDC42-AS1, TINAGL1, BCAN, GNG4, OR2T10, AC079807.1, UGDH-AS1, AC110792.3, LINC02615, AC011405.1, ARMH2, AL513548.3, RAB23, AL122017.1, HDAC2-AS2, FRK, AC109322.1, TAL2, C9orf147, RAB3IL1, VWF, AC092828.1, AL354696.2, AL136040.1, TUNAR, AL031710.2, LINC02195, CDH5, AC027682.1, AC009119.1, AC010536.1, TSPAN10, DPF1, ZNF221, AC074212.1, AC010519.1, KLK2, AC006116.5, AL121772.3, RBM11, AP001056.2, SUSD2, RASL10A, FAM227A, AL021707.2, AL158055.1, AL139286.2, CD1A, SPATA9, SOX7, AL133415.1, PKD2L1, MRVI1-AS1, TMPRSS5, ALPK3, AC090164.5, TNK1, AC022726.2, EVA1B, AL121944.1, PHLDA3, AC016596.1, AFAP1L2, MCF2L, AC080112.4, HCRT, SYCE2, RAB34, HHAT, MRPL11, CDK5R1, TOMM40, PIGM, TEX45, ZBTB18, TNFRSF10A, MESD, LIMK2, TIMM21, USP18, YIF1A, MEF2A, PSMC2, SNHG3, RIT1, RUFY4, C9orf139, PSEN1, RHOBTB3, NEDD9, TENT4A, IGFLR1, FH, PDE2A, HAUS4, ATP6V0C.[1] "Seurat obj project 20094_0002"
An object of class Seurat
36601 features across 2143 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "CellCycle 42 52"Regressing out percent.rp, percent.mt, nCount_RNA, S.Score, G2M.Score
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Warning: The following features were not available: MPZL2, NBL1, AC005614.1, TUBA3C, AC079209.1, AP002840.2, PTGFR, RBP4, PHACTR3, GALM, KRT8, TRAV16, LINC00960, ZNF404, AL157402.1, ZDHHC11, AC069234.5, AP000251.1, AC092809.2, HYDIN, ACOT11, CITED1, AC096564.1, NDUFV2, COL5A3, LINC02609, SH3RF3-AS1, VASN, AC104958.1, DSCR9, ANKRD33B, MAP7, AC092068.2, KIF20A, CCDC62, ALYREF, ACOXL, AC012063.1, NEBL, AC106820.3, SMIM24, AC092718.6, SH3PXD2B, AL139383.1, CPNE7, MYLK3, AC083973.1, AC018690.1, CAGE1, TCEANC, ETV5, KCTD21, CD52, NCL, PSMG1, RTL5, AL157912.1, CCDC200, LINC01238.1, CTDSPL, CFAP97D2, FKBP4, ZNF608, AC092746.1, LRRC63, ZNF667, Z83745.1, FBXO43, THOC3, TPPP, DMRT2, TMEM254-AS1, AC092828.1, AC068987.3, ARHGAP6, FAAH2, IL20RB, EEF1E1, SNRPD1, AC098818.2, IL6ST, LINC01473, PRDM16, Z98886.1, AKR7A3, AC098484.2, AC104170.1, IGSF3, ANXA9, AL590560.3, BX284613.2, SLC45A3, FAM71A, PGBD5, AC013460.1, AC079148.1, AL133243.1, TMEM17, AC073263.2, AC016745.1, AC026341.1, UTS2B, AC113615.1, CPEB2-DT, AC019077.1, ENPP6, ANKRD34B, GDF9, AL031770.1, AL583856.2, AL031056.2, RAMACL, LINC00964, ACER2, AL353611.1, LINC01374, AC021037.1, AL731557.1, FZD4-DT, AP000866.5, AC005833.2, FAIM2, AC083809.1, AC010201.3, AC126175.2, AL135978.2, RAB26, CHST6, AC009119.1, FAM106C, AC005697.2, SLC35G3, LRRC46, HOXB-AS3, TOM1L1, KCNJ2-AS1, CDH2, AC011815.1, AC022726.2, AC011491.2, AC123912.1, AC008507.4, VSIG10L, C19orf18, AL035661.2, BX571846.1, ADAM12, NHSL1, AC092902.4, AL606491.1, WDR17, AXIN2, EML6, SHROOM1, AC102953.2, AICDA, IGLV2-23, CCT4, MTHFD1L, GLRX3, AC010896.1, AC002464.1, AARD, AC138028.1, AC011484.1, CCT3, ANKRD39, OLFM2, MAP1LC3A, LINC00899, SERBP1, HNRNPA2B1, LINC01358, AC009570.1, CACNB2, TRIM36, UQCC2, PFKP, RPA1, POLD1, AMER1, AL020997.5, SAMD13, AC092802.4, AL365181.3, DNM3-IT1, PCAT6, KIF26B, ST3GAL5-AS1, IGKV1-9, IL1RL1, DES, ASIC4, AC023787.3, MAGI1, NPHP3-AS1, LINC02068, AC025539.1, ARSJ, AC034243.1, PLAC8L1, AL136304.1, AL021368.1, ENPP1, COBL, AC083870.1, TRBV4-1, TRBV7-9, TRBV30, AC023202.1, AL353795.2, GAS1RR, ZNF462, AL139124.1, FGFR2, AL390763.1, HBB, KCNJ1, AC092745.4, AC079601.1, BCDIN3D-AS1, LLPH-DT, AC156455.1, HCAR1, AL137786.1, AC084757.2, AC090971.5, AC090970.2, CORO2B, AL023881.1, PRR35, AL022341.1, AC010761.3, AC243830.1, TMPRSS9, PRR36, ERICH4, EDN3, AL121832.3, RSPH1, AC016027.3, Z97353.2, MOV10L1, MAP7D2, KLHL34, GPR34, KLHL13, AL139234.1, SPANXA2-OT1, TMLHE-AS1, RAB23, ZIK1, STYK1, LBX2, ACTR3, C3orf52, USP15, MRPL23, CCT7, CCT8, CACNA2D4, AL357079.1, SYDE2, AL645940.1, PROSER2, LINC02207, AC079142.1, LAMA5, AC005618.4, AC092718.4, TRIB2, SPAG5, FANCD2, KCNE5, BEND4, AC073140.1, BCAS1, CDC42BPA, HADH, MT-ATP6, CENPP, CHEK2, HLTF, LNCTAM34A, KAZN, AC104170.2, SLC44A5, RNF144A-AS1, TRIM54, AC005034.5, AC007405.3, OXTR, LINC01811, SCN11A, AC105935.1, IGSF10, AC090018.2, C1QTNF7, AC069307.1, AC008875.1, CRHBP, AC011370.1, AC008691.1, AL136307.1, AL513548.3, ZSCAN31, CYP21A2, COL11A2, LRFN2, RSPH9, SH3BGRL2, AL390208.1, AC073343.2, AC005162.3, AC007285.1, CPA5, AC087533.1, VXN, RAD21-AS1, ZNF572, AL354707.1, PTGR1, GARNL3, PLPP7, PPP1R26-AS1, STOX1, CFAP58-DT, ST5, GALNT18, CLEC1A, DEPDC4, AC025265.1, IQCD, KSR2, TRAV14DV4, TMEM63C, AL157955.1, GCOM1, AC027237.2, AC104041.1, AC024270.4, PCSK6, AC009065.5, KREMEN2, AC092718.1, AC010536.1, AC002347.1, TIAF1, AC145207.6, AP005482.3, AC011815.2, CELF5, CCL25, SIGLEC11, LINC00896, AP000345.2, AL022322.1, DMD, NUP62CL, FBL, AL031772.1, DOCK4, AL513303.1, CUBN, ABCB4, LONP1, MRPL1, PLCG2, FKBP7, KCNH3, IGHV3-74, EIF2S1, LRP12, AC069185.1, CLEC4G, AC023794.3, AL359397.2, CCNB3, WDR4, TCP1, PSMB4, AL355336.1, IPO9-AS1, AC092490.1, MAGI3, AC096751.2, AL353796.1, SLC22A18AS, DIXDC1, FBLN5, IRX5, TSPAN10, ELANE, CCER2, APOL4, BEND5, CDC25B, LDLRAD3, ADSL, CHCHD1, CDH24, RMI2, PSMA7, LINC01176, SLC2A14, UBE2N, HACD3, AL450344.3, NLRP2, HAT1, AHSA1, PPP1R9A, RPS17, GPR162, ARHGEF39, AP001372.2, IGKV1-27, XCR1, CA3, H19, TRAV8-3, CRYBA4, ELF3-AS1, ZNF473, EMC9, AL590807.1, AL356019.2, GDPD3, KIF18B, NPM3, PKP4, AL356512.1, AC006059.1, TIAM2, AC243829.2, AK4, CITED4, TRIM28, NOP56, DLGAP4-AS1, AC010210.1, PLCG1-AS1, MSH2, LEO1, POLE, TEX30, CSKMT, PSMB5, SLC19A1, DOCK3, P2RY1, KIAA0408, AC246817.1, AP006623.1, CCDC89, KRT2, SAXO2, Z98884.1, LPAR3, LGALSL, LINC00691, AC124045.1, PRKAR2A-AS1, ITGB5, ALG1L, AC110792.4, DKK2, KLKB1, NEURL1B, GJB7, SOBP, AC005046.1, WDR86, AC246817.2, MTMR7, HTRA4, TSPAN15, SORBS1, LRRC56, AP001453.1, AC005476.2, AC126763.1, AC109460.1, AC120114.1, AC007611.1, KCNJ2, PTGER1, GNG8, AC008403.3, EEF1A2, CENPI, SLC8A1-AS1, AC097717.1, AC023480.1, SLC12A8, AC131235.2, ABLIM2, AC095057.3, AC005740.5, AL645939.5, KCNK5, Z98200.1, SLC26A4, LINC02055, PDCD1LG2, AL139243.1, LGR4, AKAP3, KRT73, AC025423.4, ANKS1B, AC000403.1, AL136038.3, CCDC113, AC092295.2, AC011468.5, AL390198.1, BX640514.2, LINC00266-1, AL109761.1, AF196972.1, APOM, COX17, JHY, TMEM121B, ZNF793, PFKL, FKBP3, HAUS1, PLPPR2, AC068587.4, DDX1, MOSPD2, HINT1, LINC00891, SLC25A3, C11orf95, CALM3, STIP1, HIST1H2BI, MYOM1, SPR, RAC3, AC010327.8, SCART1, MAPK8IP1, RFPL3S, MRPL13, IL15, GAS2L1, PUS7, KIF18A, PCAT1, C5, PTPRN2, HPF1, KHDC1, HEBP1, MRPL39, EIF5B, SNRPB, WASHC4, LONRF1, ATG16L2, HIST2H2BF, NUDT8, ATOX1, SYCE1L, FZD2, MRPL36, SETD7, BASP1-AS1, KANK1, PPFIA3, L1CAM, LRRC6, AC016027.1, FAM83G, TOB2, KPNB1, ARL11, NCKAP1, CTTNBP2NL, TAP1, NUCKS1, NDUFB1, AC108134.3, MRVI1, SSTR2, BHLHE40-AS1, ZFP28, C19orf54, ACTL6A, GPX7, NDUFAB1, DDX10, LBR, PSMC3, MIS18A, APEX1, SLC16A1, LINC00630, DDX3Y, IMPDH2, SF3B3, CNDP2, AL391988.1, CBX1, HAUS8, TCEAL3, PUM3, SLFN5, PAX8-AS1, GABBR1, DAPK2, SLC2A11, WDR90, ZNF516, SPTSSA, BEX2, TRPV3, GNPDA1, CAPN12, GFOD1, POLR3G, STRIP2, FAM241A, ANAPC15, LAMTOR2, AGO4, SMIM4, ESPN, SPATA21, AL137802.2, AC245100.6, ILDR2, IL19, FAM110C, GPR75, FAM171B, AC026202.2, ALS2CL, HTR1F, TXNRD3, AC108718.1, SOX2-OT, AC109347.1, DCLK2, ZNF165, AL096794.1, AC004130.2, HOXA1, AC004893.3, FAM66B, AC100814.1, KIF24, AL807752.5, ACTA2-AS1, AL139339.1, AC069360.1, BATF2, LINC02551, DDN, AC078983.1, FAM124A, AL353660.1, TRDV3, FRMD6, GPR137C, GPR135, LINC02185, AC136624.2, SLC9A5, AC006449.2, MAPT, WNT3, AL121772.3, MYH7B, AF129075.2, MIF-AS1, ZFP92, PCSK5, IFIH1, SNRPA, IRF1, BAIAP2-DT, BOLA3, CISD1, LRRC4, NRL, IGLV6-57, ESF1, FAM207A, DICER1, METTL1, Z94721.3, AC092683.1, AP1B1, CYB5RL, AL451069.2, TRAV38-2DV8, KCNMB4, KDM7A, STX3, SLC35E3, AC069277.1, MSANTD1, STBD1, MEIG1, LOH12CR2, CATSPERB, AC007950.2, OTOA, TUBB4A, CLEC17A, AC244034.2, AP000763.3, OSBPL10-AS1, HSD17B4, MRPS28, MFAP1, GVQW3, FAM200B, EXOSC8, GAMT, VDAC3, LINC01127, ERH, MASTL, AL356488.3, PXDC1, GAS5, PROCA1, ARHGEF10L, TCOF1, LINC00482, ARL6IP6, MIS18BP1, ARHGAP42, METTL8, TAF4B, POLA2, NOP58, SIPA1L2, SCARF1, ARAP1, FAAP24, PMVK, CHPT1, NUP50, PLK4, HEATR9, LARP1, TRMT10A, PSMD14, MICOS10, SLC7A1, CNR2, SYCP3, BAHCC1, EXOSC5, SOD1, PARP9, LINC01970, AL590068.4, KIAA1522, GRB10, AC232271.1, AC017002.3, USP46-AS1, AC024257.3, KRT72, LGALS12, AC078883.1, CIAO2A, MT-ND2, RPS2, MYCBP, AC027279.1, NDUFA7, IL27, LINC01572, ANKRD13B, AC002470.1, CARMIL2, DPH6, RBX1, CPB2-AS1, AC027031.2, UTP14A, FAM135A, CLEC9A, MT1H, DDX21, TSPOAP1, HIPK3, RNASE4, C1orf131, AC012020.1, C1orf35, PRPF19, SAG, CLIC5, AC011773.4, LINC02680, ASAH2B, NNMT, AC024909.1, RYR3, USP43, EPOP, EDN2, AC099568.1, EFNA1, FMOD, GREB1, AC007383.3, IGFBP2, FAM124B, RPL34-AS1, AC073475.1, C5orf34, NHLRC1, GPLD1, PRSS16, SLC28A3, DDIT4-AS1, CERNA2, FFAR4, MORN4, ZNF215, MYRF, LINC01465, LINC02413, AL354696.2, AL442128.2, F7, TTC7B, AC018845.3, KLHL10, MEIOC, AC025048.2, CEP112, RNF157-AS1, STAP2, AC022144.1, AC006213.2, ZNF415, AC005498.3, AC004076.2, AL133520.1, AP001057.1, C22orf15, Z93930.3, AL158055.1, TTTY10, BX004987.1, GINS4, RRP1, HAL, RASGRF2, HMOX2, PPIAL4G, PAK1IP1, NECTIN3, PCNT, GARS, PTP4A3, SYNCRIP, SGSH, TIMM21, SYNJ2, GPRIN3, SEC13, NUDC, DIP2A, NAA38, MDH1, ACYP1, OCIAD2, SNRPD3, TBC1D12, SDCCAG8, NBEA, RBM26-AS1, AC127496.5, TBX1, AP000553.2, DPEP2, PDE6G.[1] "Seurat obj project 20094_0003"
An object of class Seurat
36601 features across 1969 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "CellCycle 42 52"Regressing out percent.rp, percent.mt, nCount_RNA, S.Score, G2M.Score
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Warning: The following features were not available: CLEC9A, SNX3, AR, CEP295NL, LINC02273, AC078881.1, AC005740.5, EML6, CCDC9B, MAP1LC3A, AL161891.1, ID2-AS1, CATIP, AL109809.5, INKA2, ZNF433, STEAP1B, MORF4L2-AS1, CDC42BPA, LINC01374, U47924.2, CABLES1, FLT3LG, CCDC126, MATN1, CLCN2, P3H2, PRRT3-AS1, FGFBP1, AC008629.1, LINC02605, SHB, LINC02696, SMARCA1, AL135818.2, CHRNA5, ADAMTS17, AL109840.2, SYP, AC012640.2, AC091138.1, ADRA2B, SPOCK1, KNDC1, DISC1FP1, PHOSPHO2, RPS17, MAP7, COL9A3, SCARB1, AC105285.1, NEK11, CYP2E1, AP002840.2, TRAV21, ZNF556, C17orf100, DNAH6, ITGB5, F2RL2, AC027702.1, GAS5, PGLS, CCDC163, ZNF589, PSMC3IP, VLDLR, WDR78, ZRANB2-AS2, TMIGD3, IL6R-AS1, MARK1, AC007240.3, AC098820.1, AC021660.4, IL12A-AS1, CAMK2N2, AC090018.2, SLC26A1, CPEB2-DT, RAB3C, MARVELD2, TIFAB, AC002464.1, AC005400.1, NACAD, AC211486.5, AC005009.2, TRBV2, TRBV7-2, AC246817.1, AC023202.1, OSR2, AC022973.4, LINC02055, ABO, AL133215.2, TCERG1L, GPR83, CACNA1C-AS1, CSRP2, AC068790.9, TUBA3C, AL161772.1, TEX29, ZC2HC1C, IGHV3-48, STRC, MESP2, AC103739.3, RGMA, AC135050.3, AC092384.1, RNF222, MRC2, AC132872.3, AC005264.1, AC011451.3, CRLF1, MAMSTR, ZNF547, AL023803.1, AL133520.1, AP001429.1, ZNRF3, ARMCX2, ZFY-AS1, MAFIP, FBXL16, NFIX, IGKV2D-29, AC107027.3, ADGRV1, AP001267.2, ZNF177, PTGIS, MIR4458HG, PXDC1, CDC42EP2, CDKL3, MTRNR2L12, VAV3-AS1, AL355999.1, GPR150, CCND2-AS1, AC138649.1, CCDC6, CTTNBP2NL, EHD3, ROR1, LINC02447, WDR17, HMGN3-AS1, NDC1, AC021054.1, ZNF473, SPNS1, CACUL1, PCBD1, NRTN, ANKLE1, THNSL1, CLCNKA, AUNIP, EDN2, AC098484.4, TIE1, LINC01361, KCNJ9, C1orf74, IRF6, CAPN14, DLX2, EFHD1, XCR1, AC022296.4, AC072039.2, AC078852.1, AC080132.1, SLC6A3, AC010280.2, MEF2C-AS2, AL513008.1, AC073140.2, GHET1, AC009630.2, AC023632.5, ADGRB1, PTGR1, AL512631.1, OR56B1, AC021269.3, FAM180B, SHANK2, AP001267.3, AC126178.1, AL133163.2, AL121768.1, MOK, AC025040.1, MAPK6-DT, AC105020.1, AC090260.1, ALPK3, Z92544.2, AC126763.1, ZNF843, GP1BA, ATP1B2, AC129492.1, KRT23, KCNJ2, AC087289.5, APCDD1, ANKRD30B, ANKRD24, LINC01841, AC003956.1, PCAT19, ZNF772, AC012313.5, TFF3, CRYBB1, FAM83F, GPC4, NUDT17, STK17B, AC009093.2, TCHH, DSG2, LZTS3, FOXN2, SLC35E1, ATP13A2, AP000845.1, GABBR1, PARVG, BEX2, RAB33A, AL160171.1, ZFP57, SCN8A, AL606834.1, ITPK1-AS1, AC002470.1, GPR146, AL512353.1, AL512343.2, ADGRF3, ATOH8, CHL1-AS2, AC022382.1, MSX1, AC116651.1, SYNPO2, AC139720.1, AC099343.4, IRGM, ZNF391, TREML4, TCTE1, BEND6, AL359715.1, FAXC, AL024508.2, AL008628.1, PDGFA, MICALL2, LSMEM1, WNT16, SOX7, LINC02603, AL139041.1, AL162586.2, AL731533.2, AC067750.1, CUZD1, MMP21, ANO5, PAX6, EXPH5, LAYN, GLB1L3, SLC6A12, AC092828.1, AC084824.4, AC068987.3, KRT8, HSD17B6, LATS2-AS1, AL158196.1, TRAV8-3, TRAV25, JPH4, AL139022.2, AL049840.3, AC009171.2, AC009093.5, SLC5A2, AC009148.1, AC233723.1, AC055839.2, AC127024.6, AC107993.1, CNTNAP1, GJC1, LINC01973, AC024361.1, AC006566.1, KCNG2, AC006538.3, DIRAS1, PEX11G, LGI4, RTN2, AC092301.1, LINC02246, BTG3-AS1, ADAMTS5, AC000068.1, ZNRF3-AS1, CRLF2, EFHC2, MTMR8, PTRHD1, ABCG1, PRPF40B, AC010531.6, AL592429.2, LINC01684, TMEM67, AL132709.8, SLC25A6, POMT2, LINC01970, MOB1B, EIF3L, AL672032.1, CR2, ZNF793, WBP2NL, RMI1, MTHFD1L, RETREG1, DDX21, RTN4, POP1, UNC119, GDF7, AL109615.2, AC051619.6, SMTN, WASF1, AC109322.2, COLCA1, DNAH10, GPR135, LINC02207, VSTM2B, NINL, SEC14L2, LEPR, Z99572.1, LERFS, GNAI2, CASP2, NDUFS4, PTGS1, AL136304.1, IGLON5, IGLV3-19, HSD17B12, CHKB-DT, KAT14, LINC02352, ZC2HC1A, AC111182.1, AASS, AC022182.2, REV3L, NBPF20, VAMP8, SOX12, SLC31A1, LAMTOR2, SNX30, HADHA, BCL2L15, AC009961.1, MMEL1, UBXN10, AC118553.1, LINC01765, HIST2H3PS2, AL121987.2, SPR, AC005041.5, LYPD6B, AC007364.1, AC093388.1, ZNF385D, AC097634.1, ALG1L, AC053527.2, PRDM5, LINC02363, SORBS2, PROB1, PCDHGA8, AC139795.3, AL031123.1, AL355802.3, ECT2L, EPDR1, GLI3, UPK3B, AC004921.1, NPM2, ANGPT1, CCDC26, AF230666.2, AL022345.4, AC136475.9, MYRF, TMPRSS5, LINC02731, TAS2R19, HMGA2-AS1, TRPV4, IQCD, AC069503.1, STK24-AS1, AL137139.2, AL356756.1, KCNK10, DUOX2, SENP8, AC124248.2, AC130650.2, CD2BP2-DT, AC116348.2, LDHD, AC005730.3, ZSCAN22, CPXM1, BX640514.2, ADORA2A-AS1, MOV10L1, KCTD3, DCLK2, ADGRE3, IL4I1, CEP19, SPAG5-AS1, ARHGEF10L, ACSF2, SIGLEC5, TRMT10A, ZNF358, UBASH3A, GPANK1, HIP1R, AL603839.3, RASAL2, LINC01011, PKP2, DUXAP8, AC110611.2, WDR66, PLCD3, HOXB2, GIPR, RPL27A, SLC12A6, MRPL23, MEIS2, MICAL2, KIF9, AC073611.1, N6AMT1, PSMA7, FYB1, INF2, CDC25B, AZIN1-AS1, DUS4L, TCEAL3, AC092119.2, AC145285.2, HYAL2, ZNF599, TLR3, FOXP4-AS1, PSMG1, ANKRD9, ETHE1, ERAP2, CDC14A, AC008764.7, AC009404.1, DAGLB, SERP1, IFT20, ACADM, CCDC180, HARBI1, FAM207A, HHAT, BAIAP2-DT, AL118516.1, ATP8B4, PGAP1, PVR, DBNL, FHL1, AL162741.1, ENO1-AS1, LINC00886, AL513534.2, CATIP-AS1, AC026304.1, MELTF, USP46-AS1, AC113410.4, GNRH1, ACVRL1, AMN, ATP2A1, AC007114.1, ZNF563, SCARF1, RNF135, ACSS2, ITGB2-AS1, GPR157, SMARCB1, IL12A, HAL, C1orf112, LINGO3, CELSR1, ST3GAL2, NTHL1, HSDL2, MCUB, ANXA4, LEO1, ACAT2, C15orf41, EEF1AKMT1, TTC34, CAMTA1-DT, AL139424.3, IQCC, RIMS3, LINC01389, AL606760.3, OAZ3, LINC02773, AL391832.3, AC010883.2, C2orf81, CHRNA1, KLHDC8B, WDR49, AC006160.1, TRPC3, AC010623.1, F12, HIST1H4B, AL390208.1, TTC26, TRBV5-1, ATG9B, AC021242.3, PIWIL2, AC083973.1, ST18, AC022182.1, WDR97, PLPP7, AL353576.1, AL117336.1, CFAP70, HTR7, DOCK1, KRTAP5-AS1, AC090469.1, AP002813.1, AP002784.1, AC025034.1, KDM2B-DT, AL137060.3, AL442125.1, TRAV29DV5, LCMT1-AS2, AC126773.6, LINC02166, ZFP3, AC005899.6, AC015849.1, AC004477.1, CBX2, SIGLEC15, AC104971.3, PRX, B3GNT8, AC008440.2, ZIK1, LINC01754, BIK, NLGN4Y, RPAP2, C12orf73, EFNB1, RPLP1, NQO2, TTBK2, EPS8, DUSP23, MIR222HG, MCC, NAP1L2, TBC1D8, MAN1B1-DT, REPIN1, C5orf64, PRIM2, NFKBIE, ARHGAP31, RIMKLB, RPL7, TMEM220, RBFOX3, SVIL, PAXIP1-AS2, USP46, MAP9, CHKA, GLRX3, SIPA1L2, MFAP1, EXOSC5, YES1, COMT, ZDHHC21, AC007032.1, MBOAT1, AGRN, BEND4, ASIC3, MYH3, PTK6, FAM3B, NPTXR, ABHD1, STEAP3, AC023424.3, PEX11A, CCDC189, LINC02132, RALY-AS1, RFPL3S, LRRC24, AL118558.3, ANP32A, DNAJC4, IGF1R, AC012020.1, ANKDD1A, MRPL3, WNT1, ELF3, SNHG4, LTC4S, CLCN4, ZEB1, TMEM14A, AC087741.1, SNHG29, TIMM8B, CMTM3, RNF141, ZBTB18, TMEM106A, KANSL1L, ARL11, JUND, ATG16L2, HINT1, GIN1, AP001816.1, LINC02245, NUP50-DT, RPL8, GALK1, WAKMAR2, NFKB2, TMOD2, NRM, CEP41, KDM7A, ALDH3A2, DDT, TK2, LINC01128, TMEM97, CHPT1, APEX1, QSER1, TTC33, AL451165.2, ADO, AL136038.5, RAB7A, ZNF519, CCDC171, HOXB3, LINC02580, FCGBP, C1orf131, TRAM2-AS1, ANG, TGFBR3L, PAXBP1-AS1, TTC28, LRMP, PLCB1, AC012358.3, SLC46A2, TEX22, TRIM61, SPTY2D1OS, AC009093.1, AL022162.1, ADI1, ERCC1, RPS8, Z98885.3, AL645728.1, KLHL15, WASHC2C, AL033527.4, AL353593.1, AC098483.1, AC012063.1, SOX2-OT, AC104806.2, MRPS30-DT, AC091982.3, RPS10-NUDT3, AL096794.1, TMEM200A, NOS3, BAALC, AL158211.3, AS3MT, MRVI1, AMOTL1, AP001830.1, AC091814.1, CCDC62, AC027290.1, AL161668.3, AL512791.2, AC068870.2, ADAMTSL3, DBNDD1, LINC02086, PLA2G4C, LINC00656, SPAG4, ZNF436, MUC1, BX323046.1, ATP6V1C2, COL6A3, MELTF-AS1, MAGI2, AC109322.1, EGFL7, AL355073.2, TMEM30B, SPESP1, AC087501.4, AC100793.2, ADAMTSL5, AC022144.1, ZFP92, EIF2AK3, ATP5MF, TM9SF2, IFIH1, MAML2, ZNF281, ZNF570, MIOS, RNASEK, AC104506.1, ADD2, LOXL2, JAG2, GNA11, DNAJB7, LINC01560, GSTM3, PCED1B, AFMID, KDM4A-AS1, GPKOW, SMIM30, PAK4, RPS13, FAM3C, DTX4, ZNF614, ACOT9, TRAF3IP1, CCNY, NMT2, FO393401.1, THEM4, CASP3, SRD5A1, HAUS4, MTDH, NPM3, ZNF439, AC018816.1, KCNC3, AC108047.1, LINC00494, RHOG, CEP57L1, FAH, LINC00467, PELP1, NSMF, DUS2, MFSD14B, CMTM7, CXXC1, MARCH3, FKBP3, SPG21, PDZD4, AC142472.1, POLR3K, DNAJC16, KHDRBS2, RTN4IP1, C19orf48, TST, ZNF814, MICAL3, SEC11A, LPXN, ADSL, DDX3Y, CYSLTR1, TMEM8B, DBT, TRIO, GPHN, RASSF3, UAP1L1, ZNF624, SPART, GPN3, ZNF791, GOT2, MYO15B, ABCB4, NDUFB5, SLC35B3, IER5, ZNF107, C12orf65, NCOA3, THOC3, BICD2, AASDHPPT, FEM1C, FAR1, AC103703.1, NIPSNAP3A, ZNF787, FBXW9, SH3RF1, CES4A, ZNF763, AC010883.1, SOCS6, CAMK1D, EOMES, MRPL14, AC073896.2, STAMBPL1, CPNE8, DICER1, CXCR1, C11orf95, GAS8, AC007066.2, C8G, CCDC122, ZNF30, L3MBTL4, BBC3, SIPA1L1, PHTF2, LPAR2, ZNF525, KMT5A, GAB1, OXNAD1, PATL2, B4GALT6, SPATA6, LENG8-AS1, NFATC1, SEPSECS, ACOT13, [1] "Seurat obj project 20094_0004"
An object of class Seurat
36601 features across 884 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "CellCycle 42 52"Regressing out percent.rp, percent.mt, nCount_RNA, S.Score, G2M.Score
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Warning: The following features were not available: TRBV7-2, TRPC1, FGF2, SMIM1, BX284613.2, AC027682.4, PRMT7, PPP1R9A, ZNF713, NEFM, LONRF3, AC024361.1, GATA6, AC073320.1, FOXC1, P2RY2, AC110769.2, ZGLP1, GCNT4, CASC19, AC010173.1, PCBP3, TANC1, AL592071.1, ANXA4, FSTL3, TRIM6, ACE, GPR34, TSPAN18, LYPD6B, CBX4, AC010331.1, AC104958.2, CABLES1, AC118553.1, AC022210.2, STEAP3, CERNA2, NPTN-IT1, LINC00987, LYPLAL1, ERLIN1, HAGHL, MICAL2, AC009951.6, ZMAT3, GDF7, KLHDC8B, IL17RB, SCAANT1, AL590399.1, AC023908.3, PLD6, ZNF236-DT, ZNF625, BX640514.2, DOCK7, HPGDS, PLGLB1, SMAD1, AC034111.1, DNA2, AC073195.1, CHCHD4, ZFP41, KCNRG, AL591163.1, AL034417.4, KAZN, CYP2J2, AC239800.2, AL357556.4, SNTG2-AS1, AC108488.3, FHL2, KCNJ3, ACOX2, AC097634.3, AC018450.1, AC080013.5, AC034231.1, ANKDD1B, ZNF879, SFTA2, ZBTB9, AL450344.2, SUN3, AC002451.1, ZNF425, EXTL3-AS1, AC079089.1, RIMS2, AC138696.2, RLN1, AL158154.3, AL445222.1, ADARB2, AL356056.1, AL353719.1, FANK1, PARVA, AP001453.2, P2RY6, AP005436.1, VWF, AC005840.4, AC024940.6, IQCD, KSR2, AL159972.1, ZFHX2, AC020658.5, MYO5C, PPL, AC110921.1, RBFOX3, PSPN, CKM, AL109809.5, AL117335.1, AC016027.1, ZNF667-AS1, KHDC1, SCX, BORA, CDC42EP4, BCL9, S100A13, NNT-AS1, AL109955.1, AC005041.5, ATP6V0E2-AS1, NCS1, KCNG2, RFK, BBC3, DOT1L, SH3BGRL3, GPM6A, HAUS5, BBS7, FAS, CERCAM, LRP8, AL109741.1, ERCC4, AC132938.3, TNFRSF10D, C9orf139, EIF4E, LINC002481, STARD5, TMEM88, TTC28, ANK1, CLLU1OS, HELB, SMIM13, SFMBT2, AL020997.2, AGBL2, RMI2, ZNF304, INKA2, TNS1, HSPA12A, WDFY2, AL031728.1, LINC02777, AC119800.1, PSRC1, AL390195.2, MFSD4A, SLC45A3, LINC00298, AC012358.1, ASTL, AC019080.6, DNER, SNORC, AC092053.4, AC112512.1, IGSF10, LMLN-AS1, KIT, AC093297.2, PART1, AC008443.6, C6orf52, GPR63, AL512283.1, LINC01277, AL023806.1, CRPPA, AC004540.1, SEPTIN7-AS1, VPS37D, SLC35G5, SCARA5, LINC00968, AC113143.3, AC100812.1, RAD21-AS1, COL27A1, AL353803.4, AL355574.1, PROSER2-AS1, AC073389.3, DRD4, LINC02688, SLC22A18AS, UBQLNL, AP002008.3, GRIK4, AP003327.2, FAM66C, BCL2L14, LRP6, CYP27B1, AC126175.2, MYL2, AC131009.3, GJB6, SLC7A8, FITM1, AL139317.5, OTUB2, AL928654.1, IGHV3-73, LIPC, CHRNA5, AC009152.6, SLC5A2, LGALS9C, EFCAB5, AC116407.1, SEPTIN4, ST6GALNAC2, ADGRE3, AL121899.1, AL390198.1, LINC00158, SSTR3, AL031595.2, WNK3, NEXMIF, TSPAN6, SLX4, ZNF677, LINC00324, AC022098.4, SLC26A11, DRAXIN, AC092803.1, AC022182.2, PAXBP1-AS1, LINC02035, ABCB1, CCDC106, TOMM40L, MARCH3, SASS6, TSPAN3, TIAM2, LINC02762, ZNF155, NANP, IGFLR1, ZNF445, AC073896.2, FMN1, MRPS31, AKAP5, C19orf54, ARL4D, AL392172.2, TDRD15, ADGRF3, PLEKHH2, AC016745.1, AC006059.1, GATA2-AS1, ARL14, UTS2B, AFAP1, AC104109.2, PROB1, SLC22A23, AL133259.1, TCTE1, GABRR2, KIAA0408, STXBP5-AS1, HOXA7, AC004918.4, B4GALT1-AS1, BX664727.3, CDK20, PROSER2, AL117336.2, AL356056.2, AL138762.1, SCART1, IGSF22, LINC02716, ZP1, DAGLA, AP001107.9, DDIAS, AP003120.1, AC023509.2, BBS10, AL138955.1, AL096870.6, RAB15, AC010809.1, AC051619.7, TMC3-AS1, AC018845.3, DPEP3, AC087392.3, AC005224.3, AC068025.2, GTSCR1, HCN2, CCER2, HSD17B14, CHGB, AP000350.6, NPTXR, LINC01284, ETV3, ARRDC3-AS1, AC010168.2, MMP25-AS1, COMT, ARHGAP32, ZNF687-AS1, PLXNA2, LINC01011, EML5, FGF11, RAPGEFL1, ZNF426-DT, ZNF133, AC010642.2, PYROXD2, DRAM1, SIL1, PPM1L, METTL8, SLC35E1, LYST, HOXB2, RAB3IP, CFAP36, RAPGEF2, AC253572.1, AC016745.2, PKD2, DIP2A, SLC9A7, ARRB1, ZMYND15, SYCP2, MAGEE1, AC048341.2, PDGFA, AC007036.1, GNG8, TCP10L, IGLV2-11, DGCR6, KIAA0040, ABHD16A, TECPR2, PAK1IP1, SMARCB1, MAP4K4, GORASP1, CCNYL1, RCN1, ADRB2, POLR1B, RRM2B, MSC, ZNF10, AC040169.1, FADS3, TIMM8B, WDR92, ZNF365, FLVCR2, DSTN, STX4, FAM217B, HMGCL, TRIOBP, ZNF678, CACNA2D4, EEF2K, PLAG1, MCC, GPR146, RSPRY1, DLEU1, STPG1, HAAO, DGKG, AC004069.1, ADAM29, AC113410.4, PXDC1, CENPQ, PCOLCE, DPCD, AC009318.3, AP001505.1, EOMES, PLPPR2, FAM3C, NBPF20, INPP5F, HLTF, AC058791.1, RCOR1, SLC4A4, FAM167B, AL604028.1, WLS, C1orf220, BX323046.1, DENND6A-DT, TAFA1, AC010210.1, AC104472.5, EEF1AKMT4, GALNTL6, ANKRD55, SGCD, HIST1H2AB, SLC22A16, FAM200A, AC105446.1, MKLN1-AS, AGBL3, GNRH1, AC138356.1, LRRC6, SHB, AL161729.1, ZFP37, AL590226.2, DOCK1, GAS2, LINC02696, AC004803.1, AC005343.1, AC022506.2, CDKL1, ESR2, AC087482.1, AC016355.1, AC023302.1, AL008727.1, OTOA, EXOC3L1, AC135012.1, MPO, HSF5, AC093462.1, PRR22, CRB3, CLEC4G, PRX, FAM182A, RFPL1S, MIRLET7BHG, ADORA2A, DDX51, AC026979.2, AC060780.1, L3MBTL4, NME7, ALDH5A1, CRACR2B, ALS2, ZNF500, GEMIN8, XPNPEP3, MYF6, PDK1, SAMD12, HCG11, BPNT1, TWISTNB, KCTD5, MFGE8, PLEKHA8, AC097382.3, AC136475.1, STS, CFL2, PIP4P2, GTPBP4, MED31, MAP3K14-AS1, EFCAB7, AL162253.2, RPP25, AC109446.3, AFMID, TRIP11, PLXDC1, SPTSSA, SLC25A53, FBXO22, NEU1, ZNF512B, FLVCR1, AC026401.3, FUT4, UBXN8, NFKBIE, TNFRSF10B, LPIN2, FAM210A, AC006230.1, AC018816.1, ENO3, RPAP2, MPHOSPH9, SERTAD3, KDM4A-AS1, CTH, STON1, NECTIN3, MIR4458HG, SAP30L-AS1, CENPBD1, NR1D1, AP002449.1, KISS1R, ZNF284, ADNP-AS1, MASTL, SCAI, PCCB, PCSK5, RNF8, GFOD2, PGK1, APOL6, LRRFIP1, LONRF1, CXXC1, AC104695.4, FUT11, CARF, TAF4B, SLC27A5, PRR34-AS1, HEATR5A, ADAL, SLC25A23, SMAD7, DCLRE1A, EFCAB11, ZFP82, AL139274.2, UBAP1L, STAM, EMP3, PITPNA, ATP5MF, MLLT11, KIF1C, ZNFX1, TMEM106B, EIF4E3, AC093673.1, GLO1, AMACR, GLUD1, SPRYD7, OPA3, ATP6AP1, MRNIP, TBC1D2, LINC01637, MEF2D, RAD17, TMEM43, ZNF487, CAMSAP1, HIPK3, GSR, COQ7, SFT2D3, MRPL35, SSX2IP, MCU, RAP2C-AS1, DCUN1D4, RFXAP, AKAP1, SEC24B, BET1, TMEM159, ZNF490, TMEM18, FAM160A2, KDM5B, NUAK2, PREPL, MICU1, FAM153CP, ZBED5, BMPR2, CLHC1, AC007098.1, AC007038.1, RBMS3, AC006252.1, MAP6D1, KLB, AC026748.3, SEMA5A, C5orf34, TREML2, AC004884.2, SLC26A4-AS1, AC011978.2, AL160272.1, AC016394.1, AL589863.1, AP001267.1, SPA17, TMED2-DT, CPB2-AS1, LINC02284, AL136038.3, POMT2, CLBA1, ZNF597, ENKD1, NT5M, FZD2, TOB1-AS1, AC011933.2, AP005329.1, ANKRD29, KCTD1, TRIP10, PINLYP, SIGLEC11, MCM3AP-AS1, MAGIX, BX004987.1, SLC25A34, ARHGEF19, FOXD2-AS1, AC099568.2, AC092164.1, AC026341.1, PPP2R3A, AC146944.4, GNMT, OSR2, GSEC, AMDHD1, OSGIN1, AC090617.5, AC015726.1, BTBD3, RSPH1, AP001469.3, AFDN, BEST1, CLIP2, PCTP, ITGAE, CFL1, SERPINB9P1, GLCE, RDH10, AL627171.1, RPS27L, SEC14L1, ZNF273, CEP83, MBD1, EME2, FP565260.6, NRM, CEP85, NCDN, MARS2, WWC2, FSD1L, TAFA2, ZNF382, NPTN, AC073332.1, NBL1, KCNC4, ATP1A1-AS1, BYSL, CAHM, AC107375.1, HECTD2, AC136475.5, MISP3, ZNF181, MOB1B, TTC39C, ATP6AP2, TENT4A, PDCD4-AS1, TMEM104, ACAT2, YPEL1, AGTPBP1, PYHIN1, SMUG1, OGFOD1, GTF3C1, NSUN4, SWSAP1, RBM41, ZNF264, XPNPEP1, PFKL, DNAJB4, CROT, ZSCAN25, DHX32, TPCN2, WDR89, RAD51D, CARD8-AS1, PIAS2, GABPB1, CASP6, RASA4, DNAJC25, MRPL44, BNIP2, MTX1, HDAC4, CD99L2, UAP1L1, AC021054.1, PDIK1L, CDK2, TTLL1, ZC2HC1A, SMAD3, SESTD1, AC044849.1, CYB5R4, TCEANC2, SLC30A6, TMEM192, CLDND1, HSDL2, TRIM69, FXN, C1RL, CITED4, PAFAH1B3, AC083798.2, TMEM67, POP1, AC011445.2, INPP5B, SSH1, POMC, ICA1L, CDC42BPB, AC012181.1, GLA, TECR, TPM3, NCOA3, ITGB7, SLC27A3, ADAP1, FMNL3, NVL, IQCE, DUS4L, APOM, CCDC186, USP30, SLC9A3R1, CBX1, OTULIN, SYNE1, AHI1, NMUR1, ITGB2, JAKMIP2, MCTP2, NAA38, IFIH1, PSEN2, PEX5, IQSEC2, LRMP, PHLPP2, AL356599.1, CHIC1, MCRS1, MTREX, LUZP1, PIK3CG, AL133245.1, FANCE, FAM149B1, ABHD4, AC009041.1, ZNF416, LINC01137, TMEM79, COLGALT2, NRIR, LIMD1-AS1, AC009126.1, RGS17, LRRC27, BBS1, AL355916.1, AC125437.1, ZNF234, HAR1B, FBXO32, KDM5D, AGA, CENPV, DHRS4-AS1, BRCC3, TBL1X, DUSP8, PRKCE, PPFIA1, EMSY, DDI2, IFFO1, ECI1, PIK3IP1, PDE1B, LRIG1, TTF1, SLC12A7, GAMT, POLG2, PHACTR4, SLC37A1, AL392172.1, TSPOAP1-AS1, TMEM19, ZNF592, KIF27, GFM2, SLC17A5, CCDC180, PPP1R13B, ULK2, RABL6, HAT1, ZC3H12D, ACADM, MYO9A, TSBP1-AS1, TRIP6, MIR17HG, GPR82, TRAM2-AS1, PDP1, RIC3, MEF2A, PRKCA, TRIM56, APC, PNPT1, RNASEH1-AS1, DPY19L4, GATB, FAM114A2, RRNAD1, ALPK1, MXD3, ITGB2-AS1, DNTTIP1, MINDY2, UAP1, RMDN1, PGAP1, TCAIM, FIGNL1, EPHX2, DCAF12, DTD2, RHBDD3, AL365272.1, USP38, APOL1, ABHD10, EIF3J-DT, NXPE3, TOPORS, THG1L, ADAT2, TNRC6C, ALDH4A1, IFNLR1, RHD, B4GALT2, AL359258.2, ANKRD35, AL358472.5, AL358472.4, AL513314.2, MAP3K21, AC074117.1, SEMA4F, TMEM182, AC079793.1, AC006460.2, RTP5, LRRN1, GHRLOS, PFN2, LMLN, ADGRA3, USP46-AS1, PLK4, FAM151B, FAM153A, AL355353.1, AFG1L, AL022069.[1] "Seurat obj project 20094_0005"
An object of class Seurat
36601 features across 1202 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "CellCycle 42 52"Regressing out percent.rp, percent.mt, nCount_RNA, S.Score, G2M.Score
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Warning: The following features were not available: EFNB2, FAM43A, AC244502.1, PDK1, GPRC5D, BIK, LINC02029, AC008378.1, AC016405.2, HIST1H2AB, TMEM121B, TRAV14DV4, TRAV38-2DV8, ZYG11A, HIST3H2BB, ENAH, AL118508.1, HAMP, IGHV4-39, AC092068.2, AL162741.1, GATA6, SIGLEC11, RTN2, AL356776.2, HOXA-AS2, LINC02754, AC015727.1, MIR222HG, HIST1H2BG, HIST2H2BF, PODXL2, CTPS2, GARS, SCX, FKBP2, AL353759.1, RAPGEF5, EDEM1, AL157394.3, RAPSN, AC021752.1, APOC1, AC004556.3, AC069360.1, OXER1, MROH8, GNMT, AL158206.1, MAPK12, AC008079.1, OTUD7A, AL109615.2, AC092903.2, AP000692.2, AP003717.4, ZNF492, IATPR, PLEKHD1, CCDC47, GLCCI1, MYO1D, ALDH1B1, TMEM8B, COQ3, SDR42E1, LINC02018, NUDT12, AC106897.1, FAM184A, LCN12, PPP1R27, TNFSF11, DSTN, AC073140.1, WDR4, HIST2H2BE, NT5M, AF213884.3, PUS7, LINC01176, WAKMAR2, PPARGC1B, NAF1, MED13L, TTLL10, LINC01725, AL391832.3, NHSL1, AL137796.1, AC080132.1, CT70, RNASEH2B-AS1, AC124068.2, CHDH, AL359643.3, CABYR, AC233755.1, TXNDC15, GPT2, RSPH3, UGT2B17, RAD54B, CDHR3, AC004816.1, AL121899.1, BMP6, HIST1H2BM, SH3BGRL2, SPNS3, AL590560.3, ILDR2, OBSCN-AS1, ABCG8, ANKRD53, AC016683.1, AC011893.1, TMEM198, SLC12A8, TP63, AC092535.2, AC104078.1, ARL9, EPGN, INTU, LINC02100, LIX1, SH3TC2, IRGM, SH3PXD2B, AC008443.8, AL122017.1, C6orf163, AL139042.1, DDO, BAIAP2L1, UBE2R2-AS1, TLL2, AL139407.1, OR56B1, AC091564.6, LGALS12, AP000708.1, GALNT8, AC092112.1, AC009318.4, DPY19L2, AC107032.2, COL4A1, CDH24, CBLN3, NOVA1, MAPK6-DT, C15orf65, AC124248.2, NPW, REXO5, LCMT1-AS2, AC135048.3, FA2H, IL17C, AC092120.3, AC091153.3, AC002091.1, AP005131.7, LINC01478, AC018529.1, NANOS3, TEAD2, CHGB, LINC00656, SALL4, TSIX, ODC1, PRUNE2, AL391056.1, UBE2L5, ZNF334, PRC1-AS1, AF111167.2, ECI1, ARHGAP5, MOB1B, BORCS5, KCNC3, AC091045.1, SDCBP2, SHF, GPRC5C, ZNF30, AC092667.1, ZNF366, HSPA1L, ELFN1-AS1, EDRF1-DT, RASSF8, KRT72, PPM1H, AL136038.3, LINC02207, AC107982.3, HSF5, AC011921.1, ASMTL-AS1, STON2, UGT8, FRMD6-AS1, USP27X, SRGAP2C, AL590822.3, AL020998.1, AL031432.5, LINC01715, AL157904.1, SPAG17, NHLH1, PACERR, CATSPERE, AC092617.1, AC007240.3, TRIM54, LINC01122, ATOH8, AC074286.1, AC010680.4, MDH1B, CHL1, IL17RB, PROS1, PLA1A, HTT-AS, MSX1, AP002075.1, LINC01513, AC010359.2, AC012636.1, RASGRF2-AS1, AC093510.1, AC106818.2, AC008610.1, OR2B6, TMEM200A, AC017116.1, LINC00525, COL1A2, LINC01393, CTTNBP2, AF131216.4, AC022239.1, AC068075.2, FAM83A-AS1, CCDC26, APBA1, PTPN3, ADARB2, AL355501.1, STOX1, AL157400.3, HBG2, AP002761.4, KIRREL3, TSPAN9, LINC02156, BCDIN3D-AS1, SOAT2, HSD17B6, AC025165.5, AC020656.2, TBX3, AC148476.1, AL136961.1, ZIC2, TRAV1-1, IGHV1-18, AC068446.2, GREM1, IQCH, WDR93, AC084855.1, NPIPA2, TGFB1I1, AC092115.2, AC138028.1, AC092384.3, CDH15, AC135178.5, USP43, AC024610.2, KIF18B, SMIM6, C17orf99, ANKRD24, PODNL1, CYP4F12, COMP, AC006504.7, U62631.1, CEACAM3, CEACAM19, KLC3, AP001596.1, AF129075.2, LINC00310, AC007731.5, IGLV3-16, IGLV3-10, LRRC75B, OSBP2, Z82244.2, FAM9C, ZNF630, PAGE5, SMARCA1, DRAXIN, SEC14L2, TMCO1, CREB3L2, AC108047.1, IGLV3-19, FFAR1, CTSV, BHLHB9, SYVN1, UTP20, HOXB2, EPRS, AC093673.1, DNAJC3, ZDBF2, ATP13A2, SNHG15, MARS, ZNF185, TRIM58, ZNF711, CALU, FUT8, ZNF706, DUSP10, IL6ST, KDELR1, ODC1-DT, KCTD11, OPRL1, LINC01220, ARHGEF11, ATAD3A, TICAM2, KBTBD11, ESPN, HPDL, LINC01389, RBM15-AS1, AL590714.1, SELP, LINC01724, DYRK3, GPR75, FAM171B, AC009226.1, FZD5, AC073052.2, AC097662.1, AC026202.2, LAMB2, ANKDD1B, AC011337.1, AL021978.1, GPLD1, PSORS1C3, AL023581.2, RBAKDN, AC004540.1, UPK3B, SPDYE16, OPLAH, ZNF462, AKR1C1, PRTFDC1, HBB, MYBPC3, AQP11, MCAM, AP001318.2, LINC02367, GPRC5D-AS1, AC126614.1, GLI1, CFAP54, AC131009.3, THTPA, STXBP6, AL136418.1, FRMD6, KTN1-AS1, AL138995.1, LINC02324, LINC02288, AC023906.5, AC104035.1, AC109460.1, CMTM4, AC090617.3, MRM1, WNT3, DLX4, DNAI2, ANKRD29, CSNK1G2-AS1, AC010422.2, ADGRE3, AC002116.2, SPTBN4, BRSK1, ZNF418, C20orf204, AL022329.1, GPR34, RCOR1, MYEF2, FUZ, SRPX, NFYA, BTLA, CXXC4, AL139384.1, BX284668.6, ADAM29, AP003120.1, STYK1, ERFL, MEX3B, PPAT, RAB34, PARPBP, AC068587.4, MORF4L2-AS1, C1orf53, PDE2A, AC104699.1, CLCN4, PRKAG2, CLDND1, GCNT2, USO1, LBR, TTBK2, PTK2B, ZNF257, SEMA3F, AL355353.1, WDR90, NEK5, TMEM30B, AC009570.2, CDS1, DEFA3, GPT, FAM221B, AC005833.2, OTUB2, IGHV4-28, IGHV5-51, CEP112, PAOX, CNPY2, LINC02273, SLC17A9, FEM1C, TWNK, ZNF593, MAP4K3, SPATA33, CDK3, AL606491.1, HYMAI, AC027682.4, PCK2, DEF8, TENT5C, SNX8, MAPK7, AC009061.2, EDEM3, PPP1R9A, ARHGAP42, TRAM2, ALG1L, GUCA1B, AC108488.3, NPM2, TGFB3, CLTC, GPR160, RAD51C, ZMAT1, SLC66A2, BX664615.2, RND1, TENT4B, USP46, RABEPK, MIR4435-2HG, STARD4-AS1, LINC00482, EPS8L1, AC006299.1, FMOD, AL683813.1, IFT74, ZNF37A, PPFIBP1, POLE, ETF1, ZSWIM5, LINC01359, AL358472.4, AL390957.1, KCNK1, ASAP2, FSIP2, ZKSCAN7, HESX1, LNP1, POPDC2, MSANTD1, PROB1, ATP6V1G2, AC004938.2, ZMAT4, AC103724.3, AC233992.3, AP000759.1, ARAP1-AS2, TBC1D30, AC087893.2, DPEP3, C17orf97, TRPV1, CPAMD8, RAB9B, KIF17, LINC01355, DNAJC6, EFNA3, KIAA1614-AS1, AC016907.2, LBX2, MYLK, AC135893.1, MMRN1, AC008937.3, FAXDC2, WWC1, AC106795.2, AL359715.1, AL096794.1, AL024507.2, AL008628.1, AC006027.1, GPC2, ACHE, LRRN3, LINC00534, OSR2, LINC00964, ARC, ANKRD18A, AL353803.4, AL589863.1, MIR194-2HG, AP002813.1, P2RY2, DNAJC22, KRT73-AS1, AC024909.1, ADGRD1, POGLUT2, RPS6KL1, AC020661.4, AC025580.2, PRRT2, AC044802.2, AC009113.1, CCDC144NL, RND2, COL1A1, KISS1R, AL357033.3, POF1B, DHX34, FUCA2, MIR646HG, DDX21, AP001269.4, FLT3LG, TAF9, FTCDNL1, KBTBD6, LOH12CR2, AC244033.2, AL357054.4, AZI2, C17orf58, NXPE3, NAA50, AL360012.1, CEP57L1, AC091607.2, CBL, TARS, SLC1A4, DOCK4, AP001160.1, TIAM2, MFHAS1, ARL13B, POLD2, RPS8, FAM200B, SEC24A, APEX1, EPN2, MYO9B, TTC9, CASS4, IGFLR1, IQCE, WWC2, AARS, AC243829.1, LINC01637, FO704657.1, MAP10, AC005229.4, CAMKK1, ZNF175, TTLL7, VANGL1, CARMIL1, COMMD3, DERL1, UBXN10, TDRKH-AS1, AC009506.1, CCDC39, LINC00092, LINC01481, AL513477.2, CFAP45, AL589843.1, TRIM16L, KLF7-IT1, AC006994.2, STEAP1B, TTC26, BSCL2, DPP3, TMEM214, MINDY2, ZBP1, GIN1, MAP3K6, SMAD1, SLC2A14, ZNF625, ACAA1, MAP3K11, DHRS7B, C11orf80, AP000766.1, APOLD1, IGLV6-57, RPS26, AGO3, TMED10, ZNF519, DNAJC10, TNFRSF10B, BICD2, NMUR1, LMO4, LINC01409, BX890604.2, SLC2A11, DENND2D, MSRA, SETBP1, AC004687.1, ST8SIA6, MFGE8, GEMIN5, ANKRD36C, PPM1K, MOB3B, LINC01678, DNAJC15, CYSLTR1, GOLGA8A, C1orf112, AC079921.1, EFNB1, AC240274.1, SH3BGRL3, RGS13, GBGT1, MDN1, MTDH, GAB1, NEK8, MED14OS, RTCA-AS1, TAPT1, SASS6, NBPF19, NNT-AS1, GHRLOS, BMP8A, AC104506.1, AL360270.3, LINC00624, AL121987.2, KLHDC9, TBX19, KIF3C, AC016722.2, FAM124B, KLB, ABCG2, PCDHGB6, DPYSL3, LINC00240, HIST1H2BL, ZSCAN31, LINC02541, AL024508.2, ST7-AS1, AC024451.4, XKR9, RIMS2, AC016074.2, AL022345.4, AL356056.2, AL391684.1, AFAP1L2, TNKS1BP1, MS4A14, AC092111.1, RAPGEF3, AC023794.3, CEP83-DT, FITM1, CTSG, SAMD15, ELMO3, C16orf46, SLC46A1, RDM1, GSDMA, HCRT, PLCD3, LINC00469, AC027601.6, AC011815.2, DIRAS1, COL5A3, KIR3DL3, AC016026.2, U62317.1, LANCL3, LINC01358, ABCB11, PRELID2, PAQR8, EYS, GRB10, WEE2-AS1, TUSC1, TTLL11, AP000919.4, NTN5, AIFM3, C3orf33, PGLS, GALNT2, AL391839.3, IFT81, MDS2, LINC02802, KIAA1324L, COL9A3, AF305872.2, POU2F1, ATF4, SFMBT1, USP45, LRP8, USP21, SNX29, GNA12, KCNK12, CNR2, CKAP5, CYP51A1, AP003307.1, SLC66A1, RETREG1, FMN1, AMIGO1, AL353708.3, FBLN7, CDKL3, AC006033.2, WDR86, AC109322.1, LINGO2, RUSC2, AP000866.6, AC016588.2, AC011445.2, NRTN, BOP1, SMIM4, TMEM9B-AS1, ZNF615, SH3RF1, LINC01506, AC092069.1, MTMR6, IARS, HIST1H4J, FAM120A, RIF1, GALNT7, MAP4K3-DT.[1] "Seurat obj project 20094_0006"
An object of class Seurat
36601 features across 198 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "CellCycle 42 52"Regressing out percent.rp, percent.mt, nCount_RNA, S.Score, G2M.Score
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Warning: The following features were not available: CALM3, NUCKS1, CDKN2D, RPS26, HIST2H2AB, C1orf112, HIST1H2BL, PLK4, GNG2, CDK5RAP2, AC090152.1, APOBEC3C, MYEF2, FANCD2, RAD21, HMGA1P4, HDGF, AP004609.3, UBALD2, AC012360.3, BRD8, AC104596.1, AL031123.1, MPPED2, GABPB1, PBX4, MIS18BP1, AGBL5, MEF2C-AS1, OR2A1-AS1, ARHGEF39, ZNF347, AC245014.1, SPAG5, SNHG15, MTA2, PPARGC1B, CEP70, PARPBP, TRIM38, LINC00513, MAGEE1, EPHB6, TRMT10A, AASS, CATSPER1, CDK2, ARHGAP21, COMTD1, TPM1, DTX4, TRIB2, CKAP5, LAX1, AC144652.1, AL360012.1, ARHGAP19, KMO, ZFAND4, NCAPH2, CFL1, TFDP2, COX8A, TCEANC2, GLCE, NAP1L3, LETM1, TARBP1, MIR34AHG, KIF18B, MXD3, AC108134.3, FIGNL1, KLHDC4, MAZ, CENPQ, SPN, TIPARP-AS1, TWNK, UBA2, DCXR, LINC00342, IQGAP2, RBBP7, ZNF557, GPSM2, IL21R, ATP8B2, TRIP11, IFFO2, KLHL8, BANF1, MTFP1, POLA2, LYST, ARL6IP1, TTC16, DGKG, AP001107.9, RARA-AS1, DMD, FAM111A, DPY19L1, TBC1D31, HIST1H2BN, PDE4D, C1orf35, SRSF10, LINC01128, RFWD3, AGTPBP1, IL15, ZNF286A, HNRNPA2B1, CMC2, KDM4A-AS1, AC019197.1, TICAM2, TONSL, CYSLTR2, AC008074.2, Z94721.3, AP000873.2, AGRN, GSTM2, CHL1, LZTFL1, UGT8, CCDC26, PFKM, ZNF768, PROCA1, STXBP4, AC005332.5, ZNF726, AL022162.1, ICE2, RNASEL, AC097534.2, ITPRIP, ZCCHC8, UBASH3A, SH3BP5, TCAF1, KHDRBS2, CIPC, USP32, AP1M1, DCTN3, NMRAL1, HEG1, SAP30L, AC124016.1, KCTD10, MIR17HG, AL109628.2, AL118558.3, AMN, GOLGA6L10, NQO1, AP000254.2, SLC19A1, SLC9A3R1, ARL4C, LHPP, CCDC159, ERBB2, APMAP, CBL, PDGFD, ZNF124, SCLT1, RHBDF2, MAD2L2, HLTF, AL050343.2, BEND5, KHK, APLF, CCDC126, AJM1, MAPK8IP1, TUBG1, S100A13, ADGRL1, PLCB2, AC007032.1, C9orf40, N4BP2L2-IT2, NFKBIL1, HERC6, LSR, ANKRD37, AC026979.2, IFT74, C12orf29, AP001020.2, ZNF717, MORN3, CCDC122, SNAPC1, ZNF441, HAR1A, SIK1B, PRDM15, AC004556.3, ARHGEF12, FADS2, MIB2, CD151, ATP11C, HGSNAT, OPHN1, NT5C2, IL12RB2, MROH6, SCD, LINC02453, CERNA1, LINC00482, TMX1, MTPN, PBX3, COQ7, DIAPH2, FADS3, ARRB1, HIST3H2BB, EFNA5, PSPH, TRBV9, AC080112.4, ZNF419, JADE3, PNMA3, SLC6A8, DGKE, WDR11, SLFN5, REEP4, ARHGAP18, RAD1, BUB3, SLC18B1, AL138756.1, TUBGCP4, KIAA0753, DDT, PER2, CYSLTR1, GNB5, ZC3H8, STIMATE, RFT1, APBB3, AL450344.3, TOP1MT, PCYOX1, STK26, SCML4, MPST, HAUS6, CBX1, SASH3, B3GAT1, NBL1, PMS2, XPO1, AC093690.1, SMARCAL1, SYNPO, SFXN4, ZNF710, ZNF18, TRIM65, FMO5, AC092944.1, TM9SF2, WSB1, CALM2, SMIM1, UQCRHL, FAM167B, ZBTB8A, IL6R-AS1, VSIG8, LINC01675, LINC01724, ZNF670, AC012368.2, SLC4A5, STEAP3, AC007038.2, BHLHE40-AS1, GHRL, EAF1-AS1, ZNF660, TRAIP, WDR5B, P2RY1, AC068631.1, WFS1, AFAP1, MAPK10, AC099343.2, RAI14, AC008937.3, SERF1A, ZBED3-AS1, AC008494.3, SEMA6A, SH3TC2, HIST1H2BM, GUCA1B, RGS17, AC006042.4, MINDY4, NOS3, NEFM, ADIRF-AS1, OR52N4, AC107884.1, C11orf74, AC127035.1, MYBPC3, KCNK7, AP002433.1, BCO2, SLC6A13, GLI1, TBC1D30, AC127070.1, PABPC3, AL139383.1, DOCK9-DT, ARHGAP5-AS1, AL355076.2, ARG2, AL121820.1, PAPLN, AC007262.2, C15orf65, DET1, AC036108.3, SYNGR3, SRRM2-AS1, AC012645.4, AC116348.2, AC026471.2, RPGRIP1L, AC004943.2, IL17C, AC040977.1, AC087164.1, AC243773.2, SERPINB10, AC005306.1, ZNF558, ZNF627, RNASEH2A, AC005759.1, ZNF850, QPCTL, AC005498.3, ZIK1, ANKEF1, AL356652.1, AF064858.1, IGLV1-40, IGLV3-19, GCAT, AL021707.6, BX539320.1, Z83745.1, SPIN4-AS1, IPO5, ANAPC11, NFAT5, NOP56, BATF, MIOS, TTC9, XPR1, HAGHL, SIGLEC7, ZNF516, MYO1F, NFE2L2, CROCC, PIK3R3, NDC1, ARHGAP31, FBXO8, RASGRF2, AL138824.1, AC006033.2, TMEM60, PPP1R16A, AC007686.3, SCRN3, NFYA, MSH2, PMVK, ZSCAN16-AS1, SRD5A1, DTX3, GPR141, FAS, FO393401.1, CSE1L, CAAP1, NDE1, GPANK1, IMPDH1, CMTM3, AL499604.1, SRBD1, CIDEB, PIK3R1, TULP3, GLRX5, ATG4B, SEC24C, MBD2, TXNRD1, BX284668.5, MORN1, AL020996.1, TFAP2E, COA7, CPT2, TDRKH, IQGAP3, AL078644.2, MAP10, AC019080.1, AC006460.2, AC017104.6, C3orf18, NECTIN3, PPP2R3A, AC069243.1, THAP9, SMAD1, LINC02427, HIST1H2BE, AL009179.1, MED20, LRRC1, AL133338.1, AL355297.4, MACC1, MAGI2, AGBL3, AC073140.1, KBTBD11, AC107959.1, TNFRSF10C, TNFRSF10D, AC023632.2, LRP12, AARD, DOCK8-AS1, AL590399.3, AL162390.1, AL157936.1, AL589843.1, KCNT1, AC016394.1, KCNIP2, AL731566.2, TSPAN18, AP001636.3, TUT1, PLCB3, PHLDB1, FBXL14, CCDC184, CACNB3, AC073611.1, AC025423.1, LINC00562, POMT2, HEXA-AS1, RPP25, GDPGP1, BRICD5, MMP25, ZNF200, AC009118.3, AC027682.4, DBNDD1, ANKRD13B, EME1, RNFT1-DT, CDC42EP4, AC110285.5, AC110285.2, CTIF, ZNF555, TLE2, AC007786.1, TSHZ3, AC093227.1, ZNF573, NTN5, AC011468.1, ZNF256, BTBD3, AL035106.1, PARD6B, AL121832.2, SLC17A9, AATBC, AL158055.1, FRMPD3, FIRRE, C4orf46, GCNT2, SLC7A1, MEAK7, PTPRM, OTUD6B, ERO1A, ACAA1, PCNT, RMDN1, NUP58, CFAP20, SOS1, HDAC7, SCRN1, AC060780.1, ACADSB, PPP2R2B, DNAJC1, METTL22, AC139887.2, TRAF3IP1, HIGD1A, ZDHHC20, ITGB2, RBMS2, SORD, ALG12, C3orf62, UGDH, TTI2, FAM118B, ZWILCH, LIN37, PROSER3, ZNF551, ABCG1, CEP97, SYNGAP1, SLC20A2, ZNF8, POFUT1, CNOT9, CHAC2, KIAA1841, SCD5, KLHL3, NDST1, AL133259.1, WDR86, LINC02099, ZNF365, POLL, PIWIL4, ZNF202, AL442128.2, VASH1, NETO2, ZNF585B, ZNF154, PLA2G6, AL031846.2, REPS2, GCNA, AC245297.2, AZIN1-AS1, ICA1, SMTN, CDYL, PLCG2, UNC119, PCED1B, ARPC2, MRPL48, ZC3H4, IFI27L2, SLC35B3, ALOX12-AS1, RAI1, NF1, ORMDL3, VCL, CPSF6, FMR1, TMEM161B-AS1, PRKCA, HDAC8, FOXP1, SH3KBP1, MEF2D, TMEM71, GLE1, SLC10A7, ZNF302, CYB5B, DMXL1, NUDT17, AC099661.1, ANKRD6, LINC00092, LIPN, PIMREG, CORO6, ETV2, DSCR9, VSIG1, NEU1, UBA6, ZCRB1, NIPBL-DT, SLC35C1, ANKMY1, AL121944.1, BICRA, MAP3K4, RGS9, POU2F1, CDC7, FAM174A, RAPGEF5, TMEM68, EPS8, AC008014.1, AL049840.2, AC024075.1, ERC1, HEXA, CERT1, PPP1R15B, RBM28, CASC3, GLTP, SLCO3A1, ZC3H6, PATL2, TSPAN2, STRN4, DIP2A, RIN3, KMT5A, EBAG9, AC106791.1, TCHP, DHX15, SNX29, RAB37, PIGX, RIT1, BICDL1, MYO9A, ITGAL, SMAD5, AP2A1, RAB11B-AS1, PRMT7, LINC00324, PGM2L1, USP53, LYRM4, BLOC1S5, USP37, SLC25A20, ADAT1, FAM135A, TNFSF8, ANAPC2, ZNF85, FLVCR1, SATB1-AS1, GORAB, PARN, SFI1, SLC25A24, ABHD18, AC008555.4, MDM1, PYCR2, APOBEC3F, LINC00278, LYRM7, TMEM209, ACAA2, EIF4E, RUNX3, SETD7, FHOD1, ABHD3, LCLAT1, WDR41, COX15, NLRC3, IFNGR1, COG4, ZBTB37, ESYT2, ZAP70, DUSP10, NR2C1, SLF1, PSMB10, DNAJC13, IQCH-AS1, KCTD17, RDM1, GAS2L1, NEK4, SFXN5, CLN6, TBCD, TUBGCP3, GYG1, FDPS, B3GNT2, LAS1L, TP53, JUND, SEPTIN9, SELPLG, RECQL, TBC1D10B, KLRC4, CASP8AP2, GNAI2, G6PD, CHAMP1, MFAP1, HENMT1, KCTD2, CASP2, PLAAT3, HOOK3, ACYP1, CCP110, SLK, CLIP1, TXNIP, ETF1, CLK2, Z93241.1, PPM1K, MRPL18, MYO15B, KIF21A, PRPSAP1, ARAP1, TRMT61B, HIST1H4J, PLOD1, CNR2, AL353622.1, ARHGEF11, NEMP2, AC073957.3, ADAM22, CEP41, LACTB2-AS1, CDC37L1-DT, MSS51, NCKAP5L, OR11G2, XRCC3, FAM227B, PRSS36, PARD6A, LLGL1, KLHL11, FAM83D, SPATC1L, IQSEC2, SSBP3, RP9, AP3B1, ZRANB3, AGAP5, CRY2, PNPO, POLD1, NME7, PCYOX1L, AL080276.2, ZNF623, ANO9, ARL11, ZFYVE19, TMEM102, SS18L1, ACSL3, TRIM41, TBC1D7, MICB, HABP4, ADAM10, KLF9, RABGAP1, RPLP1, PDS5B, TBC1D15, MAN2C1, DENND1B, HDAC2, SUZ12, ELOA-AS1, STPG1, PAQR7, AL078459.1, AP4B1-AS1, OBSCN, TRIM58, MAPRE3, PARTICL, AC079305.1, LINC01963, SLC15A2, CCDC149, PELO, ZBED3, C5orf30, PRR7-AS1, AL009179.2, RNF217, CRPPA, C7orf25, ARHGEF10, ZNF169, AL135791.1, TAF5, AP003717.4, DGAT2, IL23A, NEMP1, AL049840.5, EARS2, GNAO1, AC040169.1, PFAS, COL1A1, SPIRE1, AC104971.3, ZNF20, ZNF681, ZNF599, B3GNT8, ZNF543, IGLL1, Z82215.1, AL031595.2, MTRNR2L10, LINC00115, MAN1C1, CYB5RL, ROR1, AMY2B, EFNA4, AC012358.3, GLB1L, HDAC11, LINC02019, SLC49A3, AC124016.2, EXOC3-AS1, ROPN1L, AC025171.4, GCNT4, SHROOM1, PCDHGA10, AL109615.2, WASF1, LINC01176, TRGV7, SGCE, AL133477.2, AIFM2, AC016394.2, FAM111A-DT, TRMT5, LINC02694, PLXDC1, LINC02086, AC008736.1, ZNF546, EPS8L1, AC010327.7, KIF16B, AL844908.1, DGCR11, AC010889.1, PSIP1, SLC38A2, HIST2H2AA4, AC016747.1, AC010359.3, VKORC1L1, DTX2, GCNT1, ADO, DYNC2H1, ERCC4, SLC16A1, SLC4A8, AP005482.1, MED13, C11orf21, C1QL1, SMC5, AC025171.3, AL021368.2, SLC35D1, ZNF544, GLMP, TP53INP2, CBX4, IL12RB1, USP10, SSBP2, LBH, IDH1, PRKCE, TRAFD1, RAC2, ZNF654, AHI1, PNPT1, DHX16, BCL2L13, POLDIP3, SLC30A7, ZFP36L2, SYTL3, GFI1, TTC28-AS1, DRAXIN, ZNF571, TCFL5, AL136038.5, CARMIL2, INAFM1, NMI, ILK, ZDHHC17, BTBD7, FAM98A, ZNF720, TRDMT1, GNPTAB, USP39, MAP3K7, GXYLT1, HIVEP3, AUTS2, AC092821.3, XXYLT1, SLC12A2, POLE, PPP1R12B, GNPDA2, GSTZ1, UBL7-AS1, L3MBTL2, KIF2[1] "Seurat obj project 20094_0007"
An object of class Seurat
36601 features across 490 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "CellCycle 42 52"Regressing out percent.rp, percent.mt, nCount_RNA, S.Score, G2M.Score
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Warning: The following features were not available: MT-ATP8, RABAC1, EGR4, RHOBTB2, COMMD3, L3MBTL4, PCSK5, EPHB6, TRBV6-2, AC087893.2, TRAV25, IRF1, NUMBL, PGM2L1, GLB1L2, AC026304.1, AC243829.2, HMGN3-AS1, PAK3, TBC1D12, NETO2, ZNF618, RASSF8-AS1, AC139019.1, DNAJC3, FLVCR2, NCOA3, LIMK2, CARD6, AC015802.6, ZNF583, SIGLEC7, GPAM, CHRM3-AS2, MAPK14, HOXA10, RENBP, HYI, AL356481.1, BACE1-AS, ADGRA3, HOXA10-AS, WNT11, AC010809.2, LINC01311, ACVR1B, RDX, LINC01002, USP49, HSPA1A, MESD, ACSL3, CDYL2, VPS37C, HSD17B1, BST2, MPO, AC093827.4, CCDC96, ASB13, AC079174.2, ZNF502, AL133259.1, SLC16A5, SULT1B1, NPIPB15, IFI35, EHD1, SV2A, NIPSNAP3B, CUL7, STK33, GGCX, KDM7A-DT, SEC61A2, SVIL, EPS8, SYT11, ST3GAL2, ZNF626, USP51, AC022098.1, LAX1, ZNF436-AS1, RASAL2, AL133390.1, TRAIP, TRBV9, DKK3, SLC14A2, AURKC, AL121845.1, AP5S1, MBOAT2, AL355353.1, AL139042.1, NR6A1, AC233976.1, LEPR, TBC1D8, MFSD3, VARS2, MAP3K2-DT, CLIC1, RIOX2, CCNYL1, RELL2, MRPS14, LMO4, DNTTIP1, ANKDD1A, NEDD4, AC133552.5, IKZF4, FEM1C, EBPL, ARHGAP42, MDGA1, AL078459.1, TBC1D30, EBF4, YTHDF3-AS1, SYTL2, ADAL, FBXO22, KLHL15, PLXNA3, NUDT6, ANKS1B, RHBDD1, ZNF200, RNF165, RAB11B-AS1, BIVM, ZNF550, AGAP1, SESTD1, C17orf49, TNFAIP8L2, RASSF1-AS1, ICA1, AC005520.2, ANKRD50, AC020911.2, PARP9, OAT, TOB2, PNPLA6, TMEM127, HIST1H2BN, KDELR1, KRCC1, CEPT1, AL603839.3, LINC01353, LINC02615, AL162274.1, AC093525.7, HADHA, ZNF714, PAX8-AS1, CD226, RIT1, LINC00987, TP53INP2, SNX30, IER3IP1, AC012146.1, KSR1, HSD17B8, AP000692.2, MARC2, PFKFB4, HYMAI, NT5DC3, ARMCX5-GPRASP2, CAMTA1-DT, OR2L3, TTC30A, AC107027.3, ACKR4, AC098487.1, SEMA5A, SGCD, PRSS16, CLIC5, LCA5, FAM184A, ULBP3, AC102953.2, LOXL2, IL7, AP003117.1, AL353746.1, OGN, KYAT1, COL13A1, AP001267.4, USP2, KRT2, AC027290.1, AL442128.2, AC023449.2, AC009560.4, ADGRG3, LINC01572, AC010531.6, AC135782.3, MYH3, TMEM220-AS1, CELF4, AC093462.1, ATP8B1, DOK6, REEP6, RTN2, AC007785.3, ATP9A, LAMA5, LANCL3, EMC1-AS1, GPR3, CELSR2, FMO4, C1orf198, SLC8A1-AS1, ZNF2, LINC01205, TRPC1, AC095057.3, AC025175.1, LIX1-AS1, ACHE, AC100812.1, SLC46A2, C5, ECHDC3, GSTO2, AMOTL1, AL353660.1, LCMT2, AC130650.2, AC020909.2, ZNF582-AS1, FNDC11, INE1, TMSB15B.1, NAPA, HEATR3, ATAD3A, EPHA1-AS1, FAF2, CHCHD1, PLCL1, ARHGEF10, LINC00115, HYAL2, AC072061.1, SCD, CATSPER2, IPMK, ERI1, MIR222HG, BANF1, SAMD12, PHF13, DCPS, AC097534.2, ZNF606, ITGA3, DPH2, CD300A, TRNP1, MATN1, PARS2, WDR63, AL451085.1, DDR2, AL450352.1, AC096677.1, HAAO, AC073283.1, ANKRD53, SH3RF3, SATB2, ESPNL, TWIST2, MAGI1, NEK11, AC117382.2, LINC00881, SOX2-OT, XXYLT1-AS2, TM4SF19-AS1, LINC01063, AC007370.2, PDE5A, ARHGEF28, ZNF346-IT1, SLC26A8, AL355802.3, AL009176.1, AC068700.1, AL451123.1, MSMP, AL590705.1, TMEFF1, SYT15, DDIT4-AS1, AC016394.1, KNDC1, OR52K2, ALKBH3-AS1, AP003032.1, AP002448.1, GRIK4, VWF, AC053513.2, AC024257.5, PLA2G1B, LINC00571, SERP2, LINC02332, AL357153.1, IGHV3-15, FBN1, AC007950.2, AC105020.6, AC048382.5, AC099518.4, AC009021.1, LCMT1-AS1, LINC02195, HSD3B7, MFAP4, KRT15, AP001020.3, AP005329.1, APCDD1, SYCE2, AC022098.4, FCGBP, ZNF225, CRX, ZSCAN22, LINC01754, BCAS1, LKAAEAR1, ADORA2A-AS1, OSBP2, GALR3, AL031587.3, CHADL, LINC01644, NUDT11, APOLD1, RPS27L, WSB1, PGPEP1, SNHG3, SLC9A6, EDC3, PDE6G, TRMT1L, BAX, RPAP2, PTPN12, GRK5, CLCN7, SH3BGRL3, POU5F1B, DNAH10, IMMT, BMERB1, ARL3, KLHL6, PPP1R15B, ITGB2, CHMP2A, SBF2, XKR8, SLC12A7, CCSER1, MEI1, CHAC2, C12orf43, EBNA1BP2, MAP1S, RGS12, TRIO, HIST1H2BD, ZKSCAN2-DT, TAOK2, CATSPER1, HOOK3, RAD51C, TYW1, NUDT22, AARS2, FAM227B, RFC5, IQSEC2, PSENEN, PGK1, BEST1, ZWILCH, ADAM22, C1QTNF3, CYSLTR2, RECQL5, CCDC106, CAHM, FBXL22, ARAP1, RREB1, DDX58, LINC00494, GIMAP8, DNAJC17, WRAP53, FAR1, AC110611.2, RFESD, GMPR, AKT3-IT1, AC046134.2, IL12A, PFKM, MMP25, HEATR9, ZNF155, SFXN3, SGMS1, AC142472.1, PCNX4, TM9SF4, UBAP1, CHPT1, HIGD1A, ERMARD, TNFRSF10A, LRP8, HAUS4, BLOC1S1, LINC02422, PAAF1, GSTM4, TMEM214, CSPP1, IPO11, UEVLD, RRAGD, GOLGA8N, PLCH2, FAM135A, ACO1, ZNF248, MYCBP2-AS1, ENTPD5, RELA-DT, LIN54, DHX58, MOSPD2, PHPT1, PIAS2, SBK1, IL11RA, TSHZ3, MEGF8, PARVG, LINC00528, ZDHHC7, SLC12A2, LINC02541, AL023806.1, AC004893.3, AL357093.2, IGHV4-59, AC079322.1, AC005498.3, CENPI, TOP1, GBP3, SELPLG, ZC3H6, DDIT3, KLHL5, ITPR2, DOT1L, DGAT1, SIGLEC9, ALG14, LINC02802, DARS2, PPM1L, SCYL1, TMEM164, ATAD3C, AL031848.2, ALDH4A1, AL033528.2, AL139286.3, HIPK1-AS1, AC253572.1, OAZ3, S100A5, AC079807.1, ALMS1-IT1, C2orf15, AC007278.2, FBLN7, LINC01806, TTC30B, SAG, ALS2CL, AC128687.3, UPK1B, LINC00886, LEKR1, DGKG, LMLN, AC098818.2, AC109347.1, ARAP3, SAPCD1, BYSL, FAM229B, AL139393.3, JAZF1-AS1, ASNS, AC107959.1, KANK1, BX088651.4, LINC00092, AL359644.1, STXBP1, ABO, DNAJC9-AS1, PLCE1, UBTD1, AL158163.2, ST5, NAV2, P2RY2, AP001992.2, DDIAS, HOXC4, TRAV14DV4, CBLN3, PLEKHD1, AC091057.2, OTUD7A, AC023355.1, KLHL25, AC004494.1, VASN, AC009113.1, AC027601.6, FSTL3, JSRP1, TGFBR3L, ZNF20, GIPR, ZNF304, DUXAP8, AC006547.3, AC004832.6, AL022157.1, SPRY3, SFT2D1, MVP, SMIM13, TSPAN2, LINC01409, ATP8B2, FYB1, IMPDH1, CASP3, MTMR6, MYO5A, ZBP1, MPDU1, LANCL1, HEBP1, ABHD10, AL360012.1, IL12RB2, NEIL2, HGS, FOXN2, ATP23, AP4M1, DTX4, TOMM40L, ZNF571, USP32, CYC1, GTF3C4, AC010642.2, SEH1L, LATS2, MYO15B, ATAD2B, HACD4, SLA2, RIF1, MRPS31, ARL6IP6, FOXP1, IGF2R, VDAC3, B4GALT5, AC012615.2, TMEM25, TUBG2, AP001020.2, EXO5, AC016745.2, CDKL3, LSM11, AC092490.1, AC127164.1, AL138955.1, AL356019.2, LINC02693, ZNF426-DT, SLC25A24, KIF3A, FAM111A, MAPK7, MPZL3, METTL6, GAS6-AS1, DUSP16, DNAH1, NUGGC, NHLRC3, AL050309.1, RNF125, CCDC32, DNAJC1, NDUFAF1, SLC26A11, UBE3D, HADHB, ELK3, WDR44, NUS1, CAMK1D, MKNK1, GAB1, TRMT5, MOB3C, ST6GALNAC3, CAPN10-DT, NLN, AC005726.3, ZNF234, ZNF841, STK3, ATOX1, SEMA3G, AL121972.1, C4orf46, ZKSCAN5, AP003307.1, TMEM35B, BCKDHA, HIBCH, NFYA, MAP4K3-DT, ACTR3, ARHGEF12, LINC01089, MICAL3, MRPL4, GNAI2, ZDHHC17, ARHGAP21, ZNF787, PHKA2, UHRF1BP1L, ATF4, RAP2C, ZSCAN30, AC073332.1, SLC39A4, COQ8B, ALPK1, ICK, Z98885.3, RELB, DHRS4-AS1, PMS1, VPS25, TC2N, GABPB2, STAM2, ZNF544, DNM2, SYNC, SWT1, SNAI3, AC124016.1, NAT1, ZC3H10, TCTN1, AC093249.6, CCDC152, AC040970.1, INAFM2, SLC38A7, KIF19, TIMM13, CERT1, ZMPSTE24, HSD17B4, WDFY1, ZCCHC2, DCAF1, RAB1A, DDX59, HIVEP1, TPM3, NUDT14, ANKAR, AC105446.1, FAM120A, ELMSAN1, NDUFV3, PITPNA, STAT6, GALM, ZNF737, REV3L, NDUFB5, DUSP7, CHST7, FAM153CP, DDX60L, ERGIC3, SH3GL1, SERP1, KDM5B, KIAA1324, DNAJC27-AS1, AC005911.1, ZNF540, TTTY10, LPP-AS2, SLC49A3, STX18-AS1, LINC00504, SERF1A, NME8, YAE1, SGCE, AL391988.1, NPFF, AC093525.6, WBP2NL, DPM2, ATP6AP1, AC027097.2, SLC18B1, BAG3, MLC1, CCDC71L, REXO4, PSMB3, SLC66A2, RNF8, DNAAF2, CHCHD6, AC018926.2, ZNF599, ZNF829, CCDC163, APEX2, HSD17B12, HSPA13, MGAT4B, FUT11, IFI27L2, WASHC3, CHST12, PIGX, STX10, AC008014.1, PARP2, MLYCD, CHN2, PIDD1, WDR3, PLA2G6, AGO2, FUT8, COA7, ELOVL6, TMEM140, ZNF782, NEMP1, AC240274.1, LSR, DUS2, TRAPPC13, OAZ2, DEF8, PRKCH, STK17B, IGLV1-47, CUL1, HSPBAP1, MPI, TPM1, PTRHD1, RGS19, GAB3, GTF2F2, AC099791.2, TTC24, MYO7B, GALNT5, BOK, CHCHD4, AC090948.3, SGO1-AS1, POPDC2, PACRGL, AC019131.2, AC012640.2, ROPN1L, ZNF608, CCNJL, JARID2-AS1, LHFPL5, PAQR8, KHDC1, AC019205.1, GABRR2, MICALL2, HOXA-AS2, AC008264.2, ZNF596, CA13, AC023632.2, AC108925.1, PBLD, CYB5R2, SPTY2D1OS, GAS2, AP003717.4, BTBD11, ZBTB42, SPTBN5, TLN2, AC068338.3, GDPGP1, NSMCE1-DT, ZNF785, CHTF8, PROCA1, PLXDC1, CBX8, ZNF667-AS1, CEBPB-AS1, CDH26, ARVCF, USP27X, FAM226B, FO704657.1, AC245297.2, MAP3K21, NRIR, AC104699.1, AC069277.1, HYAL3, AC107068.1, GPLD1, AL645933.2, HCG25, GSTA4, LINC01010, AIRN, AC083862.2, AC087623.2, PNPLA7, HSPA12A, AP001636.3, AC092868.2, GOLGA6L4, AC145285.6, CMTM1, B9D1, GDPD1, NR2F6, RIPOR3, LINC01637, AC233755.1, MOSMO, GSPT2, TMEM161B-AS1, TPMT, YES1, ABI2, PER2, IFFO2, AC011939.2, AL109955.1, ETV7, TMEM64, ZNF764, GPD1L, TLNRD1, TFEB, ATF1, SLC9A7, TGFBR3, ST3GAL5, AC144652.1, ARIH2OS, MRNIP, THADA, FBXO32, NKIRAS2, KLHL9, RBMS1, ECHS1, FAM8A1, POP5, CLCN6, TICAM1, SLC14A1, GIMAP1, ZDHHC20, TXNRD1, GCNT1, PLD1, ARHGEF11, TBL2, GATD1, CWC22, CEP63, MITD1, CPD, BICD1, HS2ST1, C12orf29, ZNF699, SAT2, LAPTM4A, EIF4E3, SKI, ALDOA, FAM136A, NHEJ1, ZDHHC16, TBL3, EEF2K, LINC00630, KIF5C, A[1] "Seurat obj project 20094_0008"
An object of class Seurat
36601 features across 1037 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "CellCycle 42 52"Regressing out percent.rp, percent.mt, nCount_RNA, S.Score, G2M.Score
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Warning: The following features were not available: B9D1, MSLN, IGHV3-20, IGHV2-26, ODC1, NDUFV2, TUBG1, LINC02762, SH3RF3-AS1, AC116651.1, CXCL11, CEACAM19, TIMM8B, ATP5MC1, ILF3-DT, S100A2, DOP1B, UCHL1, SNRPD1, AP001372.2, ALG14, SEL1L, GTSF1, ACTL6A, AL031668.2, ADSL, IGHV3-43, UQCC2, PRMT1, SLC17A9, HRAS, FKBP3, AC139720.1, ESYT1, SEPHS1, CCDC173, ALYREF, CYP2U1, PDXP, CCT3, BOLA3, LINC01534, ACAT1, NTHL1, PSMC2, AC084024.4, GALNT14, FHL2, LHFPL6, SIGLEC12, PSMA7, AL162258.2, ADORA2B, TMEM208, STOML2, MRPL21, ABCC6, RPA4, RTL5, NQO1, FAM118B, FDPS, PTPRF, AC093583.1, TSPAN15, AP001992.2, KBTBD7, CEP76, ZG16B, MRPS18C, COX17, CHCHD2, THAP7-AS1, UCHL5, CCT4, ANKRD6, AL356417.1, ERI2, AC018647.2, ZNF219, PSMA6, GSPT1, MAGED1, SLC25A10, ZNF711, PTPN7, SEMA4C, LYSMD1, OLFML2B, THORLNC, AC008269.1, AC126283.1, ZNF165, AC004593.2, AP006545.1, CCN3, SARDH, AL590226.2, TUBB8, GSTO2, ZBTB3, NNMT, MCAM, RNASEH2B-AS1, PRC1-AS1, NPIPA5, NXN, AC004771.4, MMP28, RFPL2, IQCC, AC239800.2, AC244033.2, AC132153.1, AC010680.4, AC018809.1, LINC01980, DENND6A-DT, AC008040.1, AC114956.3, FOXD1, AL645939.5, PDE7B, C6orf99, TMEM249, TMOD1, AL158151.1, LCN12, AL139339.1, CALY, AVIL, AC000403.1, UBE2Q2L, DOK4, AC015726.1, LINC02086, NPTX1, STARD6, AMH, AC006942.1, AC018755.5, PTK6, AL121845.1, CHODL, CECR2, MGAT3, ASMT, LANCL3, RPS6KA6, MRPL20, HIST1H3H, CHCHD1, MRPL13, NDUFAF3, CHAF1B, AL391121.1, MAPT, AC010615.2, LINC00384, SLC2A13, SYVN1, MRPS14, FARSB, SNRPB, CCDC149, HES6, AL162274.2, MS4A14, NDUFS6, RUSC2, TCTN2, SPINT1-AS1, AP001059.2, AK4, HAUS1, B4GALT1, LAGE3, GOLPH3L, COX8A, CTH, LINC01127, FBXL19-AS1, AC123912.1, NDUFAB1, BCL2L12, ZDHHC12, NUDT21, LAT, ITGB1BP1, ILF2, SLC25A23, MRPS34, TOMM5, CCT8, CCP110, PIK3CD-AS1, CORT, SFN, GPR3, PKN2-AS1, PDZK1, DYRK3, CXCR1, P2RY12, AC107398.3, DKK2, METTL14-DT, REELD1, AC114956.1, ANKRD31, ZBED8, MAK, DDR1, KHDC1L, LAMA2, AC004130.2, AC004522.5, AC073073.2, AC073878.1, AC068389.1, LINC00534, CASC11, AL157884.2, PITRM1-AS1, AL158211.3, PRKG1, AP006259.1, SCN8A, AC079313.2, AC069209.2, C14orf178, AC039056.2, SKOR1, KREMEN2, EMP2, AC009152.3, ARLNC1, AC004706.3, AC104024.4, CCL23, SPATA32, AC005920.1, DLGAP1, APCDD1, ZNF396, AC021594.2, AC010422.2, RASIP1, AC010332.3, LILRB5, ZNF471, ADAMTS5, AC016027.2, APOL4, AL023802.1, ZC3H12B, PLS3, NLN, MEI1, GPR146, MTX1, FLVCR1-DT, NR1H3, UQCRH, MRPL40, GCSH, GMPR, AC005520.2, GFPT1, DKC1, TOP1, FH, TMEM70, ARHGAP29, CCSER1, WNT7A, ROBO3, TPRKB, ERP27, NOP56, CFL1, NAA38, POLD2, MRPL35, UBXN10, BX293535.1, ZYG11A, DNM3, LHX4, PLA2G4A, AL157402.1, LINC01825, AC079834.2, GPC1, AC005237.1, ROBO1, AC090018.2, AC093849.4, AC034238.1, IL31RA, DND1, SH3RF2, SLC22A23, AMPH, AC072061.1, STRIP2, FSBP, EGFL7, AL590068.4, AC010998.2, AC069287.2, AP003327.2, GPRC5D, AC024909.1, AL139383.1, ADPRHL1, TRAV19, AF111167.2, UNC79, AL049840.3, CHRFAM7A, AC092756.1, AC016355.1, AC024270.5, AC007216.4, LINC02185, GDPD3, STX1B, AC087392.3, AC233723.1, HOXB3, GPRC5C, RBFOX3, PLPP2, AURKC, SH3BGR, DMD, AC084036.1, DCLRE1B, RARA-AS1, MYCBP, CYC1, PAFAH1B3, NUDT5, ELP5, NDUFC1, KRT8, FMO4, TIGD2, AC009812.4, EXD2, FBLN5, WFIKKN1, AC027601.6, SMIM11A, SCD5, SWT1, RBX1, PFDN6, HSPA13, FICD, NABP2, YWHAQ, MTCH2, GPR141, TIMM13, DPM2, MRPL4, MRPL23, PTPRN2, BUB3, RNASEH2B, Z99572.1, AC048341.2, IGF2BP3, CDC25B, POLR2L, TADA2A, NFXL1, MPC1, MRPL18, SLC39A4, GALM, TOMM34, FAM92A, FBXO10, APOL3, KIAA0825, TRIM28, TLR6, MRPL22, MMADHC, IFI16, EBNA1BP2, ARL5B, FANCC, SCYL3, LINC00467, LMO4, MRTO4, CYCS, THOC6, PDCL3, FAM136A, RABAC1, AGAP1, IGLV3-21, ATP5ME, IGHV2-70D, CHST7, PSMC5, IMPDH2, NHP2, IGKV1D-39, AC211486.5, IGHV3-72, ACTR3, EMC9, CCT7, NUFIP1, PMVK, REPS2, MPHOSPH6, MAPK11, HIST1H2AD, C1orf159, NDUFA12, RGPD2, TMEM182, LAMB2, AC079921.1, AL160272.1, LINC02696, AC011611.4, NDFIP2, AL133445.2, AC022167.2, CNTNAP1, USP49, PLCB1, GBGT1, WDR4, POLA2, SERBP1, ZNF283, TMEM241, LINC01597, ELOC, NUDT8, REXO2, SERAC1, AHSA1, BTBD11, MCRIP2, MRPS31, DECR1, MTFP1, CENPP, RAD51C, HOOK1, TRAIP, ZNF799, METTL5, SLF2, SLC1A4, KDELR1, GLRX3, RAB39B, TTF1, COA6, LY6E, SEPTIN1, CISD1, ACAT2, CLN6, MIR34AHG, LINC01685, AL355999.1, ABCG2, NPM2, BX088651.4, C9orf116, AL391839.2, TNKS2-AS1, AL354696.1, EXOC3L1, QRICH2, AC021683.5, LINC00663, ZNF772, CAMTA1-DT, TRNP1, LINC01358, BCAR3, AL356488.3, AL590133.1, ANGPTL1, LINC01918, DIRC3, GPR55, CAMP, AC012557.2, WFS1, ADGRA3, ZFP57, AL080250.1, AL359715.1, UST, ELFN1-AS1, AC007349.3, AC006033.2, LINC02099, FBXO43, ADGRB1, BICC1, ABTB2, C11orf65, AL356019.2, FRMD6-AS1, LINC02288, RGMA, PRRT2, IL17C, SEZ6, MAP3K14-AS1, AC011921.1, RAC3, DIRAS1, ZFR2, ZNF473, ZNF350-AS1, MLC1, PARP2, UQCRQ, AC105446.1, MSTO1, IRAK2, SUCLG1, MCEE, PRPF19, GMPS, FBXL8, DCPS, MICOS10, SAMM50, MON1A, AGMAT, IL10RB-DT, LINC01678, LRRC45, MRPS7, FAM207A, UTP11, ANAPC15, KLF9, FASLG, WASF1, AL139089.1, HOXB7, LZTS3, LINC02694, ZNF383, TENT5C, MYO1D, C2CD2, FANCG, SCARF1, ATP5MF, SNHG3, MDS2, ZBTB8A, AC093495.1, POLR3G, AL357054.4, HIST1H4D, TRBV6-2, GSC, AC243829.2, AC009283.1, MKS1, HM13-IT1, LINC00899, STEAP1B, AC012510.1, MSH2, MOSPD2, YTHDF3-AS1, NDUFA6, LSM3, UTP20, ERI1, POLR3K, CLPP, MRPL3, NDUFA7, DSTN, SFXN5, USO1, PSMC3, HSPBP1, IGKV1-39, ZNRF1, PPP2R3B, SHROOM1, TRIB2, STIP1, ZNF714, RNASEH2C, ACADM, RUVBL2, AURKAIP1, HAT1, TUFM, HIST1H2BD, NFYC, VDAC3, TECR, SRPRA, DERL1, SNRPD3, GAS2L1, C1orf61, TRIP6, WIPI1, RDH13, GPN3, NUP93, SYCP2, RNASEL, CRACR2B, DZIP3, CTNND1, SNRPA, GLRX5, PITPNM2, AF213884.3, RNF122, NCR3LG1, RAB3A, ZNF257, AC018557.1, AKR1A1, ABHD3, C1GALT1C1, TCP1, SGCB, HTATSF1, DUSP18, SKP2, MITD1, CALM3, EIF3J, ORMDL2, FKBP4, CLPB, VBP1, RDX, HLCS, FKBP2, AZI2, RBL1, COX20, HACD3, EPRS, SARNP, SLC52A2, SMIM13, PSMD2, PHB, PAK1IP1, TGFB2, PITPNM2-AS1, SMKR1, TARS, TTLL12, FAM131A, DCUN1D5, ZNF618, NR1D1, FBXL19, RABGAP1L-IT1, NME8, WDR18, UQCRHL, WDR78, AC245014.1, MPZ, AL391832.3, ASAP2, AC104695.3, SPR, LOXL3, AC015971.1, FZD5, SEMA3F, LINC00887, SEMA5A, AC008429.1, AC106795.2, HIST1H2BI, IER3-AS1, PRKN, LINC01952, ASNS, FAM200A, MKLN1-AS, AC026979.4, LINGO2, LINC00484, STXBP1, AL513534.2, AL157786.1, MYO7A, AP002762.3, GLI1, SOCS2-AS1, STK24-AS1, CLBA1, AC020658.5, PEX11A, AL031600.3, AC009152.1, MTSS2, FSD1, RNASEH2A, ZNF492, LGALS4, ZNF324B, AL110114.1, DUXAP8, UPB1, AL021707.5, AL022328.3, ARMCX5-GPRASP2, PNMA5, AC245140.2, AC124242.1, IL27, AP001347.1, AC006547.3, ARHGAP6, LINC02595, RHOBTB3, CDK2, ATPAF1, COX7A2, KLHDC8B, GUCY1A1, AL450344.1, CD274, PYGM, PCCA-DT, AL118558.3, AC092119.2, EEF1E1, IGLV2-11, WDR1, FBXO4, DAXX, EIF2S1, AC073332.1, EDEM3, MICU3, FAM27C, NDUFS4, MDH1, TSPAN5, ACYP1, ABCE1, LYPLAL1, TMED5, PSMB6, AIMP2, AP2A1, APOBEC3C, ERLIN1, ABI3, SRP72, ETHE1, ELF4, NUCKS1, TXNDC15, MYL6, SRP54, ELF3-AS1, SLC15A2, KRBA1, ASAP1-IT2, TRIM47, PODXL2, HAUS8, NUTF2, JHY, EIF5B, IBTK, CASP2, CD58, CASP3, CAPN12, ARRDC1-AS1, MCMBP, TIMM21, NDC1, AHCYL2, P3H1, C3orf62, NUP37, UXS1, PSMD8, N4BP3, FAM153CP, NUP205, ATAD3A, ZNF358, MBNL3, AP1AR, HAX1, TPGS2, TMCO3, HADH, GZF1, NDUFAF4, NAA50, GABBR1, IARS, IGHV3-11, MAGOHB, DNAJC15, HERC6, ARHGAP19, MEAK7, SERINC2, AC011603.2, HCFC1, CALU, RFC1, MRPL24, MRPS11, RGL4, FAM185A, ASPHD2, SPIN4, FARSA, FOXRED1, KCNC3, DENND6B, AIFM1, PPM1L, MRPS28, MRPL14, NDUFV3, TUBGCP4, DERL2, ING1, AC090152.1, ST8SIA6, CSE1L, PSRC1, C3orf18, AC009126.1, DNAJC9-AS1, AC009522.1, SHPK, SULT1B1, CAPN3, SEC13, EVA1B, SF3A3, PREB, ZNF836, ADI1, ENPP4, PSMD14, ROMO1, TMOD2, ZNF710, PLEKHG1, AC233755.2, SYNJ2BP, ELK3, CMAS, AGO4, XRCC4, CERCAM, ESR2, NR2F6, ZNF573, DMC1, AC093827.4, AC009831.1, DNAJC18, AL645933.2, NIPSNAP3B, ANKRD9, TMCO1, SLF1, NDUFB1, PDHA1, GNPNAT1, SLC20A1, CCDC6, POMP, MFGE8, TBC1D8, GPR180, AC132872.1, TICAM2, COX7B, RALY, MAD2L2, MTF1, PKD2, LINC01504, CDC123, ABCC4, ZYG11B, FUT8, ERH, PLBD2.[1] "Seurat obj project 20094_0009"
An object of class Seurat
36601 features across 766 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "CellCycle 42 52"Regressing out percent.rp, percent.mt, nCount_RNA, S.Score, G2M.Score
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Warning: The following features were not available: MDM2, HCG18, TSIX, STK38L, SERPINB9, C17orf107, ZBP1, CXorf40B, NEDD9, LRRC8C-DT, GPR161, AC106795.2, ANGPT1, AP001059.1, NSMCE1-DT, LINC01588, PPP1R2C, ODF3L1, CDKL5, MFSD2A, IL4I1, WDR45B, B4GALT5, HGSNAT, CCDC9B, KBTBD11, ECHDC3, AC034238.1, MACC1, KLHL3, FGFRL1, SGMS1-AS1, GNPNAT1, ZNF260, MOSPD1, ABHD6, RSPH3, LINC01115, SPATA13, PLIN5, ALG13, SPART, AC093425.1, MALT1, ZP3, RWDD2B, TNRC6C-AS1, YIPF5, ODC1-DT, AC093849.4, AC009630.4, AC120193.1, NAGS, SERPINB10, AL031668.2, TEF, USP51, SYAP1, PRMT5, AC009061.2, IL21R, CLEC11A, BFSP1, DLL1, TLR1, NOL3, ZRANB3, ETV3, PHLDB1, RANBP2, AC005726.3, SNX3, TMEM53, HSPA1B, LINC01597, AP001057.1, LFNG, PKP4, AC074117.1, BASP1-AS1, LINC01948, KIAA0408, HAR1B, LINC01303, RBAKDN, GAS1, AC123512.1, ARRDC3, SERPINI1, C1orf198, USP13, C5orf66, DOCK10, AKAP5, RAB44, TSC22D2, LOXL3, FBXO34, AC092650.1, CDHR3, EDRF1-DT, MDK, FAM86C1, AC004803.1, SHF, AC068025.2, AC004797.1, TINCR, ZNF709, RPS6KA6, EPOR, F8, LAIR1, PANX2, ZNF768, N4BP3, POLR1E, PIK3CG, CHRNA10, ANKRD50, FAM111A-DT, ZDBF2, TMEM52B, NXPE3, SLC2A5, ZCCHC24, AL356488.3, MROH8, ITGAV, AC119673.2, C5, ERP27, AC106712.1, CCSER1, AC021097.1, DAPK1-IT1, DNM1, FIBCD1, VAMP3, TTLL5, AEN, FCGBP, SC5D, DUSP16, MYL6B, BTN2A2, SYP, MSH5, PPCDC, CRK, FAM177A1, NFE2L2, SESN2, MT-ATP6, CENPL, WDR92, KIF5C, ACOT11, PTGER3, TPO, TDRD15, SLC23A1, FRMD4A, EXPH5, AC126614.1, AMOT, MARC2, WDCP, AC034199.1, AC093583.1, GEM, AL355512.1, LOH12CR2, AL357093.2, LINC02693, CHAF1B, DUSP10, ESYT1, KCTD20, NUGGC, PRKCI, DBP, TTC19, COPZ2, AC079949.1, EVA1B, UBAP1L, FAM41C, EID3, CXCL9, FASLG, AL691432.4, AL590822.3, LINC01355, AL033527.4, PODN, AC099568.2, HCN3, AL390957.1, AC019069.1, AC012306.3, MYO3B, AC079610.1, AC017104.6, IL5RA, AC069277.1, AC083855.2, AC233280.1, AC124944.3, CC2D2A, PTTG2, KLF3-AS1, AP002026.1, PDE5A, PRDM5, AC114956.3, MEF2C-AS1, HLA-DQB2, C6orf132, AC019205.1, LINC01010, AIRN, AL603783.1, AC092171.5, GSDME, HOXA4, SEPTIN7-AS1, TRGV7, SSPO, AF131216.4, PIWIL2, ADAMDEC1, AC009630.2, GLIS3, AL160272.1, AL358781.1, RNF208, PRTFDC1, DNAJC9-AS1, SLC35G1, AL391684.1, LINC01163, JAKMIP3, AL592071.1, DIXDC1, AC008083.3, AC007546.1, LINC02376, LINC00598, TSC22D1-AS1, RBM26-AS1, FARP1-AS1, AC005519.1, AL136040.1, AC018362.2, NPIPB13, AC005837.1, C18orf54, AC027514.1, TLE6, AC011444.1, PDE4C, THAP8, GNG8, CCDC114, SPAG4, LINC01694, SYCE3, LINC01284, NEXMIF, ARMCX2, TMSB15B-AS1, VSIG1, AC010889.1, TNFSF8, USO1, FGGY, LINC02773, DMGDH, AL121899.4, MAPK7, AL050309.1, SH3RF1, GZF1, AC010618.3, TMTC4, ADORA2B, ZBTB20, GPR132, SLC5A3, CDYL2, PEBP4, RASL11A, AL117332.1, REPIN1, SNAPC1, TK2, SCAI, FBXO10, HMGCR, LDLRAD2, FNDC5, TCTEX1D4, GSTM1, WNT2B, ECM1, S100A14, AC010896.1, LINC01800, CREG2, GALNT5, AC011997.1, LRRN1, AC099332.1, KRBOX1, CLEC3B, AC137630.2, HESX1, AC092535.5, AC105345.1, AC095057.4, AC026412.3, AC108105.1, ARHGEF28, C6orf99, FKBP9, AC093799.1, AC006364.1, TRBV4-2, TRBV6-2, AC022784.1, AC041005.1, GPT, FAM225B, TNFSF15, ELOVL3, CALY, AC090587.2, KCNC1, AP001160.4, AP003120.1, KRT73, AL136301.1, FAM124A, FITM1, ADSSL1, IGHEP1, IGHV1-3, IGHV1-69-2, AC016355.1, CORO2B, UBE2Q2L, HBZ, ACSM1, PRRT2, AC074050.4, AC010530.1, AC009120.5, AC106745.1, AC107982.3, RNFT1-DT, AC011921.1, MRC2, KCNJ2-AS1, AC022966.2, MAFG-DT, TNFRSF11A, AC015819.1, ACER1, PODNL1, SPRED3, PTOV1-AS1, AL133227.1, EYA2, MAPK8IP2, B3GALNT2, TNFAIP8L1, ABCB4, LMO7, ASB13, AC092683.1, UNC119, ANGPT2, ACSF2, PM20D2, HIBCH, CARD6, ZSCAN29, AL928654.1, SPTBN4, PREB, RNF168, CATSPER1, ST3GAL5, SH3BP5, AGO2, SNX5, SESTD1, AGPAT4, LINC02631, GPM6A, ZNF799, TMEM143, ARMCX4, DNAH17, ANKEF1, LRATD2, CATIP-AS1, FKBP14, MIS18A, AC073283.1, TNS1, STIM2-AS1, PLPP1, CCDC122, AC020765.2, ZNF681, AC021016.3, HYAL3, AL162253.2, NCS1, C16orf87, NCKAP5L, ARF4-AS1, AL161891.1, GPR68, CFAP44, GNB5, AC083862.3, AL136038.5, UPF2, CCL28, ZDHHC7, CD96, NAF1, SYNE1, GSPT1, STX3, UPF3B, ITGB7, INPP5F, PTGS1, SLC45A4, FUOM, ZNF185, FGFR1OP, GRPEL2, LIPN, ZNF217, RRM2B, TOR4A, ELMSAN1, RBMS1, RBM12B, ABLIM1, YPEL1, OXNAD1, CARS2, SLC9A3R1, DDX59, AC009404.1, RGS9, TBC1D23, EDEM1, TC2N, GRAMD4, LRWD1, C1QTNF12, AL031283.1, ELOA-AS1, ARHGAP29, TDRKH, AL137796.1, UCN, OXER1, FKBP7, AC013468.1, AC007038.1, RTP5, MST1, AC018450.1, AC007620.2, AC080129.2, BEND4, AC106897.1, TPPP, SPOCK1, AL031123.1, AL441883.1, PPT2, AL133338.1, RSPH4A, LINC00957, PLAT, AC079209.1, LRRC69, POP1, AP002851.1, AL158206.1, AL162586.1, SUV39H2, MSS51, AL731577.1, ABTB2, CD44-AS1, AC018410.1, CLEC6A, WNT10B, AC010173.1, AC007541.1, AL137060.3, DOCK9-DT, FRMD6-AS1, TMEM30B, RPS6KL1, ADAMTSL3, ZNF771, MYH10, AC104564.5, LINC00526, PLIN4, ZNF625, SYCE2, NANOS3, LIM2, ZNF418, AL137077.2, AL022238.2, MRTFA-AS1, INE1, FAM226B, TMSB15B, RHOXF1, AL683813.1, AC245140.2, SERF1A, MEGF6, ARHGAP5, USP46, SOCS4, PRKCH, METTL22, ADRB2, NXF1, MT-ND2, PLA2G15, RNF165, CTNND1, GHRL, DENND6A-DT, LINC00240, AC026979.4, LINC02739, CLLU1, THSD1, ZPBP2, PIWIL4, AC006064.2, AC011447.3, C20orf204, AC104825.1, AC091729.3, AC099524.1, C20orf197, PLPPR2, KIF21A, SLC35E3, PYHIN1, MTCH2, FOXP1-IT1, ZNF525, INTS13, USP40, SYTL2, STX6, F11R, TGFBR3, FLVCR1, CHST7, IPMK, TMEM161B-AS1, RASGEF1A, PLEKHB1, ATF4, ZDHHC14, PRKAR2A, GALNT3, FAM229B, LINC02728, EML5, BAHCC1, ZNF350-AS1, S100A2, PIGZ, AC008957.1, CCNJL, SYT17, PLEKHG4, SLFN11, C3orf62, DCP2, APOL6, IARS, SGMS1, DNASE2, PWWP2A, ZC3H12D, VARS2, NEURL4, CCDC85C, BMERB1, RNASEL, LGALS9C, KIF19, AC010247.1, CSNK1G1, ACVR2A, SLAIN1, GNA12, UTP20, ADCY9, PDGFD, GPAT4, GTF2H5, PIGN, STK24, CABP4, CENPV, GLA, MAP1S, SH2D3C, DSTYK, CLIP1, MFSD4B, AC073111.4, ACVR1, AC097634.1, AC008014.1, PATL2, ENG, OSGEPL1, RBKS, IER5, PRKAG2, RFX3, PPP1R3B, PTPRN2, C12orf65, ARL13B, EPS8L2, SBF2, LRIF1, PPP1CB, NUAK2, CLPB, SLC12A7, PSEN1, MLH3, C11orf24, ZNF737, TST, C2orf74, PGPEP1, RALB, PAX8-AS1, ARHGAP8, GIMAP5, CASS4, NUP50, AGMAT, EHD3, AC010883.1, SH3PXD2A, AC048341.2, LINC02694, PYCARD-AS1, CELSR1, ZNF280C, TSBP1-AS1, DOCK8-AS1, OSGIN1, SPN, ZNF532, ZSCAN18, FAM200B, MAEA, TPK1, CD151, EXT1, ST3GAL4, C1orf216, RARG, LACTB2-AS1, METTL1, ALDH5A1, PIGM, SSH3, SNUPN, KANSL1L, IRAK2, SNHG10, CYSTM1, SMAD7, ETF1, SCRN1, ACSL3, SRXN1, CENPP, PXMP4, FAAH, HIVEP3, DNAJC10, RCOR1, CLTC, C17orf58, AL121944.1, TPMT, SYVN1, DEF8, METTL21A, ACADSB, ZNF714, GCLM, NOMO1, FAM241A, AC022706.1, TNRC6C, DTWD1, RBM41, MYO6, SKAP1, AC087623.2, LGALS12, TRIM16, UCKL1-AS1, CDC42EP1, TMEM237, LINC02158, AC108673.3, PSMG3-AS1, MYH11, GFOD2, ZNF555, ZGLP1, ZNF347, BCORL1, TRIT1, PALB2, DNAJC25, SMIM1, AL049796.1, AL109741.1, ETNK2, AC108463.3, PLXNA1, AC006230.1, AC096586.1, GUCY1A1, AC008443.5, FANCE, RCAN2, TRBV2, AC124242.1, ST18, IL7, AL138895.1, CDC42BPG, AP003392.5, SPA17, AMDHD1, AC090517.2, AL008727.1, AC009065.4, AC135050.5, AC009053.2, AC009113.1, AC005224.3, LINC01270, CDH26, PTK6, AL162741.1, AL391244.2, ZFP69, TUFT1, TMEM79, AC096677.1, CNIH3, ARL6, NEK11, AC008691.1, AC139795.2, AL353152.2, AL009179.1, HSPA1L, PAQR8, HOXA10, AC011978.2, KANK1, PHYHD1, ITGB1-DT, AL121929.3, ARHGEF17, MPZL2, AP002954.1, KRT18, AC008149.2, RNFT2, AL138955.1, FRMD6, FAM227B, WFIKKN1, REXO5, AC005632.6, AC009093.6, CMTM4, ZNF19, AC073508.3, PLCD3, AC139099.2, HCN2, ZNF850, AC005614.1, ZNF543, TNFRSF6B, OPHN1, RTL8B, ZNF449, IPO7, ABRAXAS2, KLHL8, CEP63, AKAP7, UAP1, ZMYM6, CLIP4, IFNGR1, GPR137B, DKC1, KEAP1, TNFRSF10A, CASZ1, LINC02352, SLC37A2, PCNX4, BATF, AC015802.6, LMBRD2, AL356512.1, DYNC2H1, NDUFAF1, ZFP82, ZNF446, AC025580.2, ZFP30, SNTA1, AL021707.6, AL590617.2, ANKRD33B, BX664727.3, ZNF287, GPR162, STRN3, SYNJ1, VPS37C, CDIP1, TXNL4B, Z93241.1, NFATC1, SYNE3, ANKRD9, LINC01138, LINC01554, CDC42-IT1, PDXP, INPP1, KIAA0040, STAT4, TLNRD1, TENT4A, PIK3R5, SSH1, ATPAF2, PDK1, GLRX2, TSG101, RAB37, DCUN1D3, BICD1, AGAP3, LAS1L, RAPGEF2, LRRC58, SNX30, NRBF2, SUMF1, CLEC2D, LINC00342, POLR3E, PTPN7, MDM1, ZNF445, RAD17, XRCC4, ZNF267, TFDP2, ZBTB47, MTRF1, KCNK12, CNTROB, TSHZ3, NEK3, ADGRG7, S1PR2, STK39, LPCAT1, DENND1B, CTNNBIP1, HSH2D, GYG1, NUDCD2, ZBTB18, RRAS2, MGA, DIS3L, APOBEC3D, ALG10B, PACRGL, ZNF629, ZNF846, ISG20L2, NCOR2, ZBED5, CTPS1, USP10, PLCB1, GATC, CMAS, CLCN3, ADGRG5, ZNF827, MCMBP, LIMD1[1] "Seurat obj project 20094_0012"
An object of class Seurat
36601 features across 3449 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
2 layers present: counts, data
[1] "CellCycle 42 52"Regressing out percent.rp, percent.mt, nCount_RNA, S.Score, G2M.Score
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Warning: The following features were not available: DRD4, PF4V1, IGHV3-49, SCARA5, CLDN5, FIBCD1, MSRB3, CLEC1B, EPGN, AL365226.2, SRPX, CDH1, CCDC85A, IGLV2-23, TRAV1-1, SDR16C5, TREM2, MSLN, LINC01229, IGLV9-49, RPRM, AL139393.3, SH3D21, TRAV34, KIRREL3, LINC02381, MYZAP, SPATA18, AC133681.1, EDNRB, AC010624.5, AP001631.2, PPEF1, COX7A1, KIT, MTCL1, IGLV3-10, FGF9, AF131216.5, AL355334.2, LINC02182, ELFN1-AS1, AC092490.1, ADAMDEC1, AC104699.1, PPARGC1A, AC092171.3, NAV2, GPR55, DNAH10, LRRN3, TTC39A, MTUS1, AL354707.1, LY6E, AL513493.1, TAL1, RGS13, RHEX, C5orf64, SFTA2, TRAPPC3L, SMOC1, AJAP1, AC019129.2, AC006213.1, IGLV8-61, AL929091.1, COL5A2, ESM1, ACER2, HSPA2, AC010491.1, FAM225B, AL442663.3, CCDC73, NOTCH3, FIGNL2, ADAMTS5, KCNK10, EIF2AK2, RPS4Y1, OFD1, WDR66, AC100803.4, LINC00309, TP63, FBN1, HYDIN, AC015917.2, AL357033.3, TNNC1, CTTN, CCL8, ARHGAP29, DDR2, UNC13B, IMPG2, ABCA13, AL139041.1, PLCB4, SPTLC3, OSBP2, ARMC12, MYO5C, OR2G6, IQCA1, POU5F1, AP001453.1, AC068234.2, SMIM6, ZNF521, MYLK, PTP4A3, AC012184.3, C19orf81, AL390719.2, KIF17, PTGER3, AC093575.1, GPR61, AL590133.1, RORC, C2CD4D-AS1, DCST2, HSD11B1, ACTA1, AC079148.1, AC007378.1, AC079447.1, MYO3B, AC019080.6, AC007163.1, AC093382.1, BOK-AS1, SUSD5, MYL3, HYAL1, PDZRN3, CD200R1L, LINC01511, AC091965.4, MARVELD2, AC010501.2, CSF2, AC034243.1, AL021978.1, AL158198.1, AC005089.1, AC003092.1, GAL3ST4, NFE4, KLF14, PIP, AC010834.2, AC068228.3, AC087045.2, AL162253.1, AL159169.3, BX005266.2, ANKRD20A3, AMBP, AL450326.3, ADIRF, EDRF1-AS1, TCERG1L, SYCE1, LYVE1, CST6, AP001107.6, AC004466.1, ADCY6, CABP1, GALNT9, LINC02340, LINC00381, LINC00449, COL4A2, TRAV26-1, C14orf132, LINC00221, IGHV3-66, GLDN, AC009121.3, AC092720.1, ARHGAP23, AC007448.5, NPB, SMIM24, FAM187B, SULT2B1, INSM1, EPB41L1, LINC00310, IGLVI-70, IGLV7-43, PVALB, ZC3H12B, AL445213.2, TAF7L, RBMS3, DLGAP1, TANC1, AC096711.1, PARD6G-AS1, GIPC3, LINC01724, DDX3Y, PYHIN1, MTRNR2L1, LINC02285, AC007114.1, RIMS3, TMEM70, MXRA8, AC093424.1, TPO, GXYLT2, LY6G6F, KCNK9, TEKT3, PPP1R16A, ZFR2, AL731571.1, UGT2B17, MYMX, QRFP, IL9R, CASQ1, ROBO1, AC006427.2, HTR7, POU4F1, TRERNA1, AC124319.1, JARID2-AS1, GUCY1B1, IER5, TTC26, PTENP1-AS, ESAM, FGF7, AC110285.5, IGLC4, ASAP2, AP005482.1, SLC5A10, SNHG18, AC027031.2, EXOC3L1, SYNE1, KLF9, TGFBR3, AC016074.2, AC025263.1, P2RY10, PKP2, AL121992.1, AL021154.1, MROH7, PEAR1, RNU6ATAC35P, LINC01354, RYR2, AC062029.1, AC079790.2, AC007405.3, SPEG, NPPC, LINC02029, CLDN11, AC023154.1, LINC00499, RAB3C, AC027338.1, AC116366.2, SNCB, AL035696.4, AL022097.1, AL353597.1, Z98200.1, LINC02518, HOXA3, COBL, AC006329.1, LEP, CPA5, AP001330.4, MIR31HG, AL353795.2, AL591368.1, C9orf153, AL162585.1, ROR2, C9orf163, PARD3, AL137026.3, SNX32, ZNF705E, SLCO2B1, LRP6, AC007655.2, IL22, AC138123.1, LINC00943, LINC00345, AL136526.1, TRAV21, AL161665.2, C14orf178, AL133153.2, AL133367.1, IGHV3-64D, IGHV1-24, IGHV2-26, IGHV3-53, TRPM1, AC109809.1, VPS33B-DT, RPL3L, COX6A2, AC103702.1, AC087289.2, AC127496.1, STARD6, AC022726.1, TMPRSS9, SHANK1, LINC01524, AC000068.2, IGLV1-41, Z97055.2, MAP7D2, XK, AC233976.2, MT-ND2, AC106791.1, ZMAT4, WFDC3, LINC00622, SCN2A, IGKV3-11, OSGEPL1-AS1, ZNF704, C2CD4B, VAC14-AS1, NGFR, AC119403.1, TEAD2, BIRC7, C8G, AP005432.1, ADRA2B, AP006284.1, AC007608.3, SORBS3, FOXD1, AL391839.2, YAE1, ZMAT1, HULC, MT-ND3, CLEC11A, SPRY3, AL357140.2, FOXO6, TNR, AC096642.1, LINC01703, AC098483.1, PLEKHH2, LINC01119, INHBB, AC068282.2, AC017071.1, AC020550.2, NYAP2, AC131097.1, AC123023.1, ARPP21, AC072039.2, SEC62-AS1, LINC00989, AC099343.4, CRHBP, AC106818.2, LINC01340, GRM3, LINC01393, TRBV20-1, AC068389.1, CCN3, AL390961.2, STOX1, LINC00595, AL133355.1, AC131971.1, FAM180B, PGA5, MYEOV, AP000866.5, KCNA5, AC018653.3, AC034102.6, AL590096.1, F7, AL136295.17, ADAM20, IGHV3-21, LRRC49, AC007220.1, SULT1A2, AC010542.5, AC009123.1, ATP1B2, AOC2, MYCBPAP, C17orf64, AC090912.2, AC090409.1, LYPD5, AC010325.1, ZNF415, AC010327.7, ZNF334, CECR2, AC016027.1, IGLV7-46, IGLV1-40, RFPL2, Z94160.2, FBLN1, POF1B, NUP62CL, RHOXF1, L1CAM, C1orf61, NUDT12, LAYN, SNED1, DAPK2, SPN, LAMB2, TMEM8B, AK4, AC005162.3, AC010680.3, ITGB5, CU638689.4, AL392172.2, SGO1-AS1, PLA1A, LEF1-AS1, PIP5KL1, ZP1, FRMD4A, GALNTL6, CYP4F3, DOCK4, AL731557.1, TMEM81, TBC1D8-AS1, ZDHHC11, ANKRD34B, GNAI1, AC027702.1, CALY, IGHV1-18, AC134312.5, AC064801.1, MYBPC2, HYMAI, GPRC5C, CD52, NEK8, ZNF69, ZNF185, CPD, AZIN1-AS1, AL049597.2, CTDSPL, AL158136.1, AGBL2, AC092868.2, IGFBP2, AC087164.1, Z99572.1, ZAP70, SLC35E3, GCH1, TSPAN18, LINC02562, LINC01852, AR, ANKRD6, SERPINB9, CCDC171, ADGRD1, PARP9, PDE4D, SKAP1, MIR4458HG, AC009065.4, ZDHHC14, FBXO22, RMDN2-AS1, MALL, FANK1, EFNB2, FA2H, KCNQ2, AF129408.1, STK33, MAP3K14-AS1, AC005224.3, CLEC2D, KIF21A, ITLN1, PCED1B-AS1, KIAA1958, HELZ2, L1TD1, AL118508.1, AC011337.1, AL031056.1, AL359532.1, ELL3, AC092384.1, AC008555.1, AC012181.1, TM6SF1, ZCCHC24, CRIM1-DT, AC012368.2, EGR4, AC007681.1, KIAA1211L, AC110620.2, SCN1A-AS1, ARMC9, CXCL6, AC010359.2, AL024508.2, AC005165.1, RBPMS, IFT74-AS1, AL354710.2, JMJD1C-AS1, HSPA12A, AP001189.1, AC005696.2, MRC2, CARD14, ZNF730, SCGB1B2P, AC005614.1, ZNF610, PHACTR3, AP001429.1, AL022328.2, MAOA, LPAR3, HIST2H3PS2, RNF144A-AS1, AC090948.4, SCN11A, XXYLT1-AS2, SLC22A23, AL078600.1, ULBP1, UFSP1, AC018638.6, AC105046.2, NEFM, AC100821.2, RLN1, AL353611.1, TLL2, AL157388.1, AC136297.1, AC107032.2, AC126178.1, LINC02404, LINC00598, MARCH10, AC024575.1, AL031673.1, AL121832.3, GPC4, SORBS2, AL356417.3, BAALC, DICER1, AC053527.2, LINC02427, AC087588.2, LHFPL6, CYYR1, ZFP92, AC104695.4, LCN8, RASSF8-AS1, MT-ATP6, ARL5B, SLC9A7, FLT3LG, TFDP2, DDX60L, AP002851.1, ADAL, MT-ND4, ABI3, AC004687.1, HPGDS, IKZF3, CD209, MAP2K6, SEC61A2, OXNAD1, HOOK3, GRAP2, LINC00342, PRKCH, PPM1K, WNT2B, AC008269.1, TNS1, LINC02447, AC123595.2, C10orf105, AC009754.1, AC092068.3, MYH3, DLEU7, HS3ST3B1, CD226, MAP3K21, ZEB1, SERPINB10, MCF2L2, ZNF304, CELSR1, AC104971.3, AC004593.2, AURKC, AL022238.2, ZRANB2-AS2, CRYBG2, AL357079.1, AL358472.3, C1orf189, GPR161, KCNC1, AC099518.5, IFT74, SYTL2, SFT2D2, PLEKHD1, SLFN5, EIF4E3, CCDC186, PIK3R1, TNFRSF10D, TMEM97, PNPT1, PLGLB1, MICAL3, ZNF711, PHC2, AL121929.2, ZBTB7A, HOXC4, ZNF281, LINC02723, DZIP3, FFAR1, FYB1, AL450992.1, ARL4C, FSD1L, LYPLAL1, ZNF37A, FAM83H, FUOM, GALNT7, ZG16B, AC010210.1, CCDC62, AL110114.1, C18orf54, LRP3, LMLN, LINC01431, HOXB7, AC018761.3, OAZ3, FAT4, AC093425.1, FILNC1, AP001830.1, AL354696.1, SCAT1, AMOT, ADGRG3, GSTA4, SYTL3, PLBD1-AS1, OPTN, AC037459.2, PBX4, ZNF555, ENPP4, TEX22, ZBED3, SESN1, ASAP1-IT2, PLCG2, LINC00513, CLCN4, LINC02762, EXOSC10-AS1, LINC01355, AUNIP, SFN, RIMKLA, TCTEX1D1, TNNI3K, KCND3, MEX3A, KLHDC9, LINC01732, AL450352.1, AL133390.1, CATSPERE, AC007240.3, AC009299.3, SATB2-AS1, LINC00691, CCR3, C3orf67, AC126283.1, ANKRD31, ADGRV1, FOXQ1, BAIAP2L1, SLC28A3, TMEM210, U47924.2, AC009318.4, KRT73-AS1, AC025569.1, DEPDC4, AC148476.1, LINC00346, IGHV3-48, AC079322.1, ZNF774, AC120498.9, AC009032.1, TAT-AS1, AC130343.2, OR3A3, ANKRD13B, AC015849.1, AC007993.3, ADAM11, AC007780.1, LINC00470, AP000919.2, LGI4, CLIP3, ZNF221, APOC1, LILRB5, SMIM17, JAM2, AP000331.1, Z99774.1, MID2, TBL1X, L2HGDH, FBLN5, MIS18BP1, SULT1B1, STK17B, AC010680.2, AC097717.1, EPHB3, P3H2, AC008937.3, AL009179.1, AL008628.1, HOXA1, AC246817.1, DLC1, LINC02680, AC005480.1, OTUB2, LINC01260, RNF217, LINC00402, SPINT1-AS1, MREG, ARHGAP21, MAP9, HELB, SH3PXD2A, ZCCHC7, MDM2, AC009041.1, RGS17, LINC02185, LINC01215, HIGD1A, TP53I11, HIPK1-AS1, SLFN12L, AL035446.1, ESR1, AC007285.1, MSC, AC009962.1, NAP1L5, CMTM3, SAMD12, RPP25, STAT4, IRF1, MACC1, NETO2, RHOBTB3, CTPS1, CDC42BPA, AC104211.1, CLEC1A, LINC00663, SH3BGR, Z83745.1, AP005131.7, SFMBT2, AL359504.2, SLC12A2, NEU1, DCUN1D3, WDR60, DENND6B, ARHGAP27, C16orf95, ZDHHC7, AL365203.2, SETBP1, CACNA2D4, TRAF5, SIDT1, BTLA, NRN1L, FBXO36, NRG2, IGSF22, AC103858.3, TC2N, ANKRD36C, ZNF107, SGCE, TMEM63C, FRMD3, RP9, CD96, LINC01220, PER3, KCTD21, ETS1, PIP4P2, AC022868.2, FZD8, CEBPE, AL161756.1, AC051619.6, AP005131.1, AC021594.2, AC097634.1, CMTM1, GALNT6, AUTS2, ZNF589, AC027279.1, MICAL2, CEACAM1, AL355999.1, AC108471.3, PODXL, RAB15, ZNF20This step performs the actual integration using the features (genes) determined in the previous command, and using the rpca method. On some R installations running RunPCA in parallel stalls R, hence it can be switched off here. No further assay (e.g. CITE-seq) is to be integrated, hence add.do is set to False.
integratedList_sample = performIntegration(finalList$data, "libintegration", features.integration = finalList$features, gex.method.normalization="LogNormalize", gex.method.integration="rpca", add.do=FALSE, run.parallel=TRUE)Warning: 'libintegration' already exists$`20094_0001`
An object of class Seurat
36601 features across 2534 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0002`
An object of class Seurat
36601 features across 2143 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0003`
An object of class Seurat
36601 features across 1969 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0004`
An object of class Seurat
36601 features across 884 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0005`
An object of class Seurat
36601 features across 1202 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0006`
An object of class Seurat
36601 features across 198 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0007`
An object of class Seurat
36601 features across 490 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0008`
An object of class Seurat
36601 features across 1037 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0009`
An object of class Seurat
36601 features across 766 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0012`
An object of class Seurat
36601 features across 3449 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
[1] "GEX integration features"
$`20094_0001`
An object of class Seurat
36601 features across 2534 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0002`
An object of class Seurat
36601 features across 2143 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0003`
An object of class Seurat
36601 features across 1969 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0004`
An object of class Seurat
36601 features across 884 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0005`
An object of class Seurat
36601 features across 1202 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0006`
An object of class Seurat
36601 features across 198 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0007`
An object of class Seurat
36601 features across 490 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0008`
An object of class Seurat
36601 features across 1037 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0009`
An object of class Seurat
36601 features across 766 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
$`20094_0012`
An object of class Seurat
36601 features across 3449 samples within 1 assay
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: counts, data, scale.data
1 dimensional reduction calculated: pca
[1] "Current integration mode: rpca"
[1] "Object 20094_0001"
[1] "Object 20094_0002"
[1] "Object 20094_0003"
[1] "Object 20094_0004"
[1] "Object 20094_0005"
[1] "Object 20094_0006"
[1] "Object 20094_0007"
[1] "Object 20094_0008"
[1] "Object 20094_0009"
[1] "Object 20094_0012"
[1] "SelectIntegrationFeatures"
[1] "RunPCA on given features"Warning: Number of dimensions changing from 50 to 30Warning: Number of dimensions changing from 50 to 30Warning: Number of dimensions changing from 50 to 30Warning: Number of dimensions changing from 50 to 30Warning: Number of dimensions changing from 50 to 30Warning: Number of dimensions changing from 50 to 30Warning: Number of dimensions changing from 50 to 30Warning: Number of dimensions changing from 50 to 30Warning: Number of dimensions changing from 50 to 30Warning: Number of dimensions changing from 50 to 30[1] "FindIntegrationAnchors"Scaling features for provided objects
| | 0 % ~calculating
|+++++ | 10% ~03s
|++++++++++ | 20% ~03s
|+++++++++++++++ | 30% ~03s
|++++++++++++++++++++ | 40% ~02s
|+++++++++++++++++++++++++ | 50% ~01s
|++++++++++++++++++++++++++++++ | 60% ~01s
|+++++++++++++++++++++++++++++++++++ | 70% ~01s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~01s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~00s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=03s Computing within dataset neighborhoods
| | 0 % ~calculating
|+++++ | 10% ~05s
|++++++++++ | 20% ~04s
|+++++++++++++++ | 30% ~04s
|++++++++++++++++++++ | 40% ~03s
|+++++++++++++++++++++++++ | 50% ~02s
|++++++++++++++++++++++++++++++ | 60% ~02s
|+++++++++++++++++++++++++++++++++++ | 70% ~01s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~01s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~00s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=04s Finding all pairwise anchors
| | 0 % ~calculating Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 1160 anchors
|++ | 2 % ~02m 37s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 834 anchors
|+++ | 4 % ~02m 32s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 939 anchors
|++++ | 7 % ~02m 28s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 662 anchors
|+++++ | 9 % ~02m 20s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 706 anchors
|++++++ | 11% ~02m 13s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 605 anchors
|+++++++ | 13% ~02m 06s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 779 anchors
|++++++++ | 16% ~02m 03s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 783 anchors
|+++++++++ | 18% ~02m 00s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 627 anchors
|++++++++++ | 20% ~01m 56s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 715 anchors
|++++++++++++ | 22% ~01m 51s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 292 anchors
|+++++++++++++ | 24% ~01m 46s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 333 anchors
|++++++++++++++ | 27% ~01m 42s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 292 anchors
|+++++++++++++++ | 29% ~01m 37s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 309 anchors
|++++++++++++++++ | 31% ~01m 32s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 345 anchors
|+++++++++++++++++ | 33% ~01m 27s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 456 anchors
|++++++++++++++++++ | 36% ~01m 24s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 497 anchors
|+++++++++++++++++++ | 38% ~01m 21s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 403 anchors
|++++++++++++++++++++ | 40% ~01m 18s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 401 anchors
|++++++++++++++++++++++ | 42% ~01m 14s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 488 anchors
|+++++++++++++++++++++++ | 44% ~01m 11s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 249 anchors
|++++++++++++++++++++++++ | 47% ~01m 07s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 623 anchors
|+++++++++++++++++++++++++ | 49% ~01m 04s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 737 anchors
|++++++++++++++++++++++++++ | 51% ~01m 02s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 603 anchors
|+++++++++++++++++++++++++++ | 53% ~59s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 570 anchors
|++++++++++++++++++++++++++++ | 56% ~56s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 618 anchors
|+++++++++++++++++++++++++++++ | 58% ~54s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 275 anchors
|++++++++++++++++++++++++++++++ | 60% ~50s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 444 anchors
|++++++++++++++++++++++++++++++++ | 62% ~47s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 643 anchors
|+++++++++++++++++++++++++++++++++ | 64% ~45s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 538 anchors
|++++++++++++++++++++++++++++++++++ | 67% ~42s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 483 anchors
|+++++++++++++++++++++++++++++++++++ | 69% ~39s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 452 anchors
|++++++++++++++++++++++++++++++++++++ | 71% ~36s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 528 anchors
|+++++++++++++++++++++++++++++++++++++ | 73% ~33s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 264 anchors
|++++++++++++++++++++++++++++++++++++++ | 76% ~30s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 363 anchors
|+++++++++++++++++++++++++++++++++++++++ | 78% ~27s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 524 anchors
|++++++++++++++++++++++++++++++++++++++++ | 80% ~24s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 840 anchors
|++++++++++++++++++++++++++++++++++++++++++ | 82% ~22s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 949 anchors
|+++++++++++++++++++++++++++++++++++++++++++ | 84% ~20s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 711 anchors
|++++++++++++++++++++++++++++++++++++++++++++ | 87% ~17s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 627 anchors
|+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~14s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 704 anchors
|++++++++++++++++++++++++++++++++++++++++++++++ | 91% ~11s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 319 anchors
|+++++++++++++++++++++++++++++++++++++++++++++++ | 93% ~09s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 408 anchors
|++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~06s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 666 anchors
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~03s Projecting new data onto SVD
Projecting new data onto SVD
Finding neighborhoods
Finding anchors
Found 523 anchors
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=02m 12sMerging dataset 6 into 5
Extracting anchors for merged samples
Finding integration vectors
Finding integration vector weights
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Integrating data
Warning: Layer counts isn't present in the assay object; returning NULLMerging dataset 7 into 2
Extracting anchors for merged samples
Finding integration vectors
Finding integration vector weights
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Integrating data
Warning: Layer counts isn't present in the assay object; returning NULLMerging dataset 9 into 1
Extracting anchors for merged samples
Finding integration vectors
Finding integration vector weights
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Integrating data
Warning: Layer counts isn't present in the assay object; returning NULLMerging dataset 4 into 5 6
Extracting anchors for merged samples
Finding integration vectors
Warning: Different cells in new layer data than already exists for scale.dataFinding integration vector weights
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Integrating data
Warning: Layer counts isn't present in the assay object; returning NULLMerging dataset 8 into 2 7
Extracting anchors for merged samples
Finding integration vectors
Warning: Different cells in new layer data than already exists for scale.dataFinding integration vector weights
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Integrating data
Warning: Layer counts isn't present in the assay object; returning NULLMerging dataset 5 6 4 into 2 7 8
Extracting anchors for merged samples
Finding integration vectors
Finding integration vector weights
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Integrating data
Warning: Layer counts isn't present in the assay object; returning NULLMerging dataset 1 9 into 2 7 8 5 6 4
Extracting anchors for merged samples
Finding integration vectors
Finding integration vector weights
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Integrating data
Warning: Layer counts isn't present in the assay object; returning NULLMerging dataset 3 into 2 7 8 5 6 4 1 9
Extracting anchors for merged samples
Finding integration vectors
Warning: Different cells in new layer data than already exists for scale.dataFinding integration vector weights
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Integrating data
Warning: Layer counts isn't present in the assay object; returning NULLMerging dataset 10 into 2 7 8 5 6 4 1 9 3
Extracting anchors for merged samples
Finding integration vectors
Warning: Different cells in new layer data than already exists for scale.dataFinding integration vector weights
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Integrating data
Warning: Layer counts isn't present in the assay object; returning NULL[1] "IntegrateData"
[1] "GEX integration done"Centering and scaling data matrix
|
| | 0%
|
|============================================ | 33%
|
|======================================================================================= | 67%
|
|===================================================================================================================================| 100%
PC_ 1
Positive: LYZ, FCN1, AIF1, SERPINA1, MNDA, CST3, CD68, CD14, S100A8, IFI30
S100A9, SPI1, LST1, CSTA, VCAN, MS4A6A, GRN, AC020656.1, CFP, TYMP
CSF3R, CEBPD, CLEC7A, FCGRT, TNFAIP2, CTSS, SLC11A1, CYBB, CPVL, MPEG1
Negative: CCL5, NKG7, SYNE2, CST7, GZMA, CTSW, GZMH, TRBC2, GZMM, CD247
KLRD1, FGFBP2, GZMB, GNLY, IL32, PRF1, HOPX, ISG20, CD7, C12orf75
RORA, TRBC1, IFITM1, ADGRG1, KLRK1, CD3E, LIME1, CD2, LCK, CD3D
PC_ 2
Positive: CD79A, MS4A1, TNFRSF13C, HLA-DQA1, BANK1, RALGPS2, IGHM, LINC00926, IGHD, MEF2C
HLA-DRA, BLK, AFF3, HLA-DQB1, CD74, LTB, HLA-DRB1, PAX5, ADAM28, VPREB3
NIBAN3, CD83, IGKC, TCL1A, SWAP70, HLA-DOB, TCF4, CD79B, FCRL2, FCRLA
Negative: NKG7, CST7, GZMA, CTSW, GNLY, S100A4, GZMB, SRGN, CCL5, FGFBP2
PRF1, GZMM, KLRD1, GZMH, PFN1, CD247, ID2, IFITM2, HOPX, ANXA1
CD7, TMSB4X, CCL4, ADGRG1, IFITM1, FCGR3A, SPON2, IL32, ACTB, KLRB1
PC_ 3
Positive: TYMS, PCLAF, ZWINT, TK1, BIRC5, CLSPN, STMN1, RRM2, NUSAP1, PTMA
MIF, TOP2A, ASPM, CDT1, TUBB, GINS2, MKI67, CDC45, HIST1H4C, CENPM
RPS11, KIFC1, NPM1, CDK1, ANP32B, RPL23, TMSB10, CENPU, HIST1H3B, NASP
Negative: NKAPL, FADS1, LINC02076, S100A9, A2M-AS1, S100A8, NEAT1, FOXO3, BTBD8, DTHD1
DENND3, SLC2A3, ZEB2, RAB20, GNAQ, ZFAT, THBS1, S100A12, CD14, VCAN
INPPL1, ADD3-AS1, NUMB, HAVCR2, LINC02384, TMEM176B, AL592295.5, CSF3R, FCAR, AC009318.1
PC_ 4
Positive: IL7R, CD3D, CD3G, TRAC, CD3E, PCLAF, BCL11B, IL32, LINC00892, TK1
ZWINT, MKI67, TYMS, NUSAP1, MAL, CENPU, CACNA1I, TRABD2A, TSHZ2, PCNA
THEMIS, TOP2A, INPP4B, CDK1, NELL2, CTLA4, RCAN3, NCAPH, CD6, TCF7
Negative: KLRF1, FCGR3A, IGFBP7, CHST2, SPON2, PRF1, PLAC8, CLIC3, GZMB, FCER1G
TYROBP, GNLY, SH2D1B, FGFBP2, ZBTB16, S1PR5, LAT2, KLRB1, TXK, HIPK2
PTGDR, IL2RB, AREG, LYN, CTBP2, KLRD1, LAIR2, CCL4, NCR1, TMIGD2
PC_ 5
Positive: CD3D, CD3E, RPL23, CD3G, RPS11, TRAC, TMSB10, IL32, TMSB4X, MIF
NPM1, IL7R, TRGC2, TRBC2, S100A4, LIME1, LDHB, CD8B, RPLP0, DUSP2
CD8A, ANXA1, SSR4, CD5, SEC61G, JUNB, CD2, S100A10, CD84, CRIP1
Negative: NKAPL, FOXM1, RRM2, PCLAF, TYMS, HIST1H1B, PCNA, MKI67, TOP2A, CDK1
ASPM, XIST, FADS1, HAVCR2, CD38, TK1, NUSAP1, CLSPN, KIFC1, GTSE1
ASF1B, CDC6, LRRCC1, ITGAX, PKMYT1, STMN1, SPC24, GINS2, KIF15, MCM3
Warning: The default method for RunUMAP has changed from calling Python UMAP via reticulate to the R-native UWOT using the cosine metric
To use Python UMAP via reticulate, set umap.method to 'umap-learn' and metric to 'correlation'
This message will be shown once per session13:55:09 UMAP embedding parameters a = 0.9922 b = 1.112
13:55:10 Read 14672 rows and found 30 numeric columns
13:55:10 Using Annoy for neighbor search, n_neighbors = 30
13:55:10 Building Annoy index with metric = cosine, n_trees = 50
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
13:55:11 Writing NN index file to temp file C:\Users\mjopp\AppData\Local\Temp\RtmpegmE0e\file6c7865072efa
13:55:11 Searching Annoy index using 1 thread, search_k = 3000
13:55:14 Annoy recall = 100%
13:55:15 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
13:55:17 Initializing from normalized Laplacian + noise (using RSpectra)
13:55:18 Commencing optimization for 200 epochs, with 644994 positive edges
Using method 'umap'
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
13:55:32 Optimization finished[1] "libintegration/ig_dimplot 8 6"
[1] "Saving to file libintegration/ig_dimplot.png"
[1] "Saving to file libintegration/ig_dimplot.pdf"
[1] "Saving to file libintegration/ig_dimplot.svg"
[1] "Saving to file libintegration/ig_dimplot.data"The ElbowPlot helps us to estimate how many PCs are needed for dimensional reduction (e.g. UMAP).
ElbowPlot(integratedList_sample$integrated, ndims=30, reduction = "igpca")
The preprocessIntegrated function calculates a UMAP representation of the data and clusters the cells.
obj.integrated = preprocessIntegrated(integratedList_sample$integrated, "integratedgex", "libintegration", resolution=0.5, num.pcs=10, dim.reduction="igpca", with.hto=FALSE)[1] "Scale Data"
[1] "dim.reduction igpca"
[1] "RunUMAP Data"13:55:37 UMAP embedding parameters a = 0.9922 b = 1.112
13:55:37 Read 14672 rows and found 10 numeric columns
13:55:37 Using Annoy for neighbor search, n_neighbors = 30
13:55:37 Building Annoy index with metric = cosine, n_trees = 50
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
13:55:38 Writing NN index file to temp file C:\Users\mjopp\AppData\Local\Temp\RtmpegmE0e\file6c7826bc78cd
13:55:38 Searching Annoy index using 1 thread, search_k = 3000
13:55:42 Annoy recall = 100%
13:55:43 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
13:55:45 Initializing from normalized Laplacian + noise (using RSpectra)
13:55:45 Commencing optimization for 200 epochs, with 606098 positive edges
Using method 'umap'
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
13:55:58 Optimization finished[1] "FindNeighbors Data"Computing nearest neighbor graph
Computing SNN[1] "FindClusters Data"
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
Number of nodes: 14672
Number of edges: 495820
Running Louvain algorithm...0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|Maximum modularity in 10 random starts: 0.9184
Number of communities: 13
Elapsed time: 1 seconds
[1] "libintegration/dimplot_umap 12 8"
[1] "Saving to file libintegration/dimplot_umap.png"
[1] "Saving to file libintegration/dimplot_umap.pdf"
[1] "Saving to file libintegration/dimplot_umap.svg"
[1] "Saving to file libintegration/dimplot_umap.data"
[1] "libintegration/dimplot_umap_project 24 40"
[1] "Saving to file libintegration/dimplot_umap_project.png"
[1] "Saving to file libintegration/dimplot_umap_project.pdf"
[1] "Saving to file libintegration/dimplot_umap_project.svg"
[1] "Saving to file libintegration/dimplot_umap_project.data"This removes the UMAP calculated during the performIntegration-step.
obj.integrated@reductions$ig.umap = NULLShowing the calculated UMAP representation.
DimPlot(obj.integrated, label=T)
df = read.table("samples2condition.tsv", header = TRUE)
df[order(df$sampleid),]NAWe now add meta-data to our object for further processing.
annotateList.sample_condition = list(
list(name="SYMPTOMATIC", selector="^20094_0001"),
list(name="SYMPTOMATIC", selector="^20094_0002"),
list(name="SYMPTOMATIC", selector="^20094_0003"),
list(name="ASYMPTOMATIC", selector="^20094_0004"),
list(name="ASYMPTOMATIC", selector="^20094_0005"),
list(name="ASYMPTOMATIC", selector="^20094_0006"),
list(name="SYMPTOMATIC", selector="^20094_0007"),
list(name="SYMPTOMATIC", selector="^20094_0008"),
list(name="SYMPTOMATIC", selector="^20094_0009"),
list(name="CONTROL", selector="^20094_0012")
)
obj.integrated = annotateByCellnamePattern( obj.integrated, "condition", annotateList.sample_condition, order=c("CONTROL", "ASYMPTOMATIC", "SYMPTOMATIC"))[1] "SYMPTOMATIC TRUE"
[1] "SYMPTOMATIC TRUE"
[1] "SYMPTOMATIC TRUE"
[1] "ASYMPTOMATIC TRUE"
[1] "ASYMPTOMATIC TRUE"
[1] "ASYMPTOMATIC TRUE"
[1] "SYMPTOMATIC TRUE"
[1] "SYMPTOMATIC TRUE"
[1] "SYMPTOMATIC TRUE"
[1] "CONTROL TRUE"
[1] SYMPTOMATIC ASYMPTOMATIC CONTROL
Levels: CONTROL ASYMPTOMATIC SYMPTOMATICannotateList.sample_condition = list(
list(name="TP 1", selector="^20094_0001"),
list(name="TP 2", selector="^20094_0002"),
list(name="TP 3", selector="^20094_0003"),
list(name="TP 1", selector="^20094_0004"),
list(name="TP 2", selector="^20094_0005"),
list(name="TP 3", selector="^20094_0006"),
list(name="TP 1", selector="^20094_0007"),
list(name="TP 2", selector="^20094_0008"),
list(name="TP 3", selector="^20094_0009"),
list(name="Ctrl", selector="^20094_0012")
)
obj.integrated = annotateByCellnamePattern( obj.integrated, "tp", annotateList.sample_condition, order=c("Ctrl", "TP 1", "TP 2", "TP 3"))[1] "TP 1 TRUE"
[1] "TP 2 TRUE"
[1] "TP 3 TRUE"
[1] "TP 1 TRUE"
[1] "TP 2 TRUE"
[1] "TP 3 TRUE"
[1] "TP 1 TRUE"
[1] "TP 2 TRUE"
[1] "TP 3 TRUE"
[1] "Ctrl TRUE"
[1] TP 1 TP 2 TP 3 Ctrl
Levels: Ctrl TP 1 TP 2 TP 3The makeUMAPPlot functin draws a 2D UMAP array, which is a good tool to visualize a time-series experiment across several conditions.
p=makeUMAPPlot(obj.integrated, dim1 = "condition", dim2="tp", group.by="idents", downsample = FALSE)[1] CONTROL ASYMPTOMATIC SYMPTOMATIC
Levels: CONTROL ASYMPTOMATIC SYMPTOMATIC
[1] Ctrl TP 1 TP 2 TP 3
Levels: Ctrl TP 1 TP 2 TP 3
[1] "CONTROL_Ctrl"
[1] 3449
[1] "CONTROL_TP 1"
[1] 0
[1] "CONTROL_TP 2"
[1] 0
[1] "CONTROL_TP 3"
[1] 0
[1] "ASYMPTOMATIC_Ctrl"
[1] 0
[1] "ASYMPTOMATIC_TP 1"
[1] 884
[1] "ASYMPTOMATIC_TP 2"
[1] 1202
[1] "ASYMPTOMATIC_TP 3"
[1] 198
[1] "SYMPTOMATIC_Ctrl"
[1] 0
[1] "SYMPTOMATIC_TP 1"
[1] 3024
[1] "SYMPTOMATIC_TP 2"
[1] 3180
[1] "SYMPTOMATIC_TP 3"
[1] 2735
[1] "Finishing Plot"Warning: Removed 282 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Multiple components found; returning the first one. To return all, use `return_all = TRUE`.[1] "Combining Plots"Warning: Removed 489 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Removed 143 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Removed 157 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Removed 38 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Removed 367 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Removed 235 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Removed 282 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Graphs cannot be vertically aligned unless the axis parameter is set. Placing graphs unaligned.Warning: Graphs cannot be horizontally aligned unless the axis parameter is set. Placing graphs unaligned.[1] "Combining Legend"save_plot(p, "split_dimplot_downsample_no", 24, 20)[1] "split_dimplot_downsample_no 24 20"
[1] "Saving to file split_dimplot_downsample_no.png"
[1] "Saving to file split_dimplot_downsample_no.pdf"
[1] "Saving to file split_dimplot_downsample_no.svg"
[1] "list case"
[1] "Saving to file split_dimplot_downsample_no.1.data"
[1] "Saving to file split_dimplot_downsample_no.2.data"
[1] "multi list case"
[1] "Saving to file split_dimplot_downsample_no.2.1.data data.frame"
[1] "Saving to file split_dimplot_downsample_no.2.2.data waiver"
[1] "Saving to file split_dimplot_downsample_no.2.3.data waiver"
[1] "Saving to file split_dimplot_downsample_no.2.4.data waiver"
[1] "Saving to file split_dimplot_downsample_no.2.5.data waiver"
[1] "Saving to file split_dimplot_downsample_no.2.6.data data.frame"
[1] "Saving to file split_dimplot_downsample_no.2.7.data data.frame"
[1] "Saving to file split_dimplot_downsample_no.2.8.data data.frame"
[1] "Saving to file split_dimplot_downsample_no.2.9.data waiver"
[1] "Saving to file split_dimplot_downsample_no.2.10.data data.frame"
[1] "Saving to file split_dimplot_downsample_no.2.11.data data.frame"
[1] "Saving to file split_dimplot_downsample_no.2.12.data data.frame"
The downsample-options reduces the number of shown cells in all plots to the same number (the minimum of all).
p=makeUMAPPlot(obj.integrated, dim1 = "condition", dim2="tp", group.by="idents", downsample = TRUE)[1] CONTROL ASYMPTOMATIC SYMPTOMATIC
Levels: CONTROL ASYMPTOMATIC SYMPTOMATIC
[1] Ctrl TP 1 TP 2 TP 3
Levels: Ctrl TP 1 TP 2 TP 3
[1] "Downsampling 198"
[1] "CONTROL_Ctrl"
[1] 198
[1] "CONTROL_TP 1"
[1] 0
[1] "CONTROL_TP 2"
[1] 0
[1] "CONTROL_TP 3"
[1] 0
[1] "ASYMPTOMATIC_Ctrl"
[1] 0
[1] "ASYMPTOMATIC_TP 1"
[1] 198
[1] "ASYMPTOMATIC_TP 2"
[1] 198
[1] "ASYMPTOMATIC_TP 3"
[1] 198
[1] "SYMPTOMATIC_Ctrl"
[1] 0
[1] "SYMPTOMATIC_TP 1"
[1] 198
[1] "SYMPTOMATIC_TP 2"
[1] 198
[1] "SYMPTOMATIC_TP 3"
[1] 198
[1] "Finishing Plot"Warning: Removed 19 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Multiple components found; returning the first one. To return all, use `return_all = TRUE`.[1] "Combining Plots"Warning: Removed 26 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Removed 27 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Removed 26 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Removed 38 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Removed 19 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Removed 19 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Removed 19 rows containing missing values or values outside the scale range (`geom_point()`).Warning: Graphs cannot be vertically aligned unless the axis parameter is set. Placing graphs unaligned.Warning: Graphs cannot be horizontally aligned unless the axis parameter is set. Placing graphs unaligned.[1] "Combining Legend"save_plot(p, "split_dimplot_downsample", 24, 20)[1] "split_dimplot_downsample 24 20"
[1] "Saving to file split_dimplot_downsample.png"
[1] "Saving to file split_dimplot_downsample.pdf"
[1] "Saving to file split_dimplot_downsample.svg"
[1] "list case"
[1] "Saving to file split_dimplot_downsample.1.data"
[1] "Saving to file split_dimplot_downsample.2.data"
[1] "multi list case"
[1] "Saving to file split_dimplot_downsample.2.1.data data.frame"
[1] "Saving to file split_dimplot_downsample.2.2.data waiver"
[1] "Saving to file split_dimplot_downsample.2.3.data waiver"
[1] "Saving to file split_dimplot_downsample.2.4.data waiver"
[1] "Saving to file split_dimplot_downsample.2.5.data waiver"
[1] "Saving to file split_dimplot_downsample.2.6.data data.frame"
[1] "Saving to file split_dimplot_downsample.2.7.data data.frame"
[1] "Saving to file split_dimplot_downsample.2.8.data data.frame"
[1] "Saving to file split_dimplot_downsample.2.9.data waiver"
[1] "Saving to file split_dimplot_downsample.2.10.data data.frame"
[1] "Saving to file split_dimplot_downsample.2.11.data data.frame"
[1] "Saving to file split_dimplot_downsample.2.12.data data.frame"
Next we perform marker-gene analysis (DE genes per cluster). The makeDEResults function calls FindAllMarkers, but enhances these results with a summary statistic per gene.
dir.create("libintegration/de")Warning: 'libintegration\de' already existsexprdfTT = makeDEResults(obj.integrated, assay="RNA", test="t")[1] "Processing cluster 0 with a total of 3426 cells"
[1] FALSE
| | 0 % ~calculating
|+ | 1 % ~10m 31s
|+ | 2 % ~10m 20s
|++ | 3 % ~10m 12s
|++ | 4 % ~10m 15s
|+++ | 5 % ~10m 17s
|+++ | 6 % ~10m 14s
|++++ | 7 % ~10m 07s
|++++ | 8 % ~10m 01s
|+++++ | 9 % ~09m 54s
|+++++ | 10% ~09m 49s
|++++++ | 11% ~10m 14s
|++++++ | 12% ~10m 01s
|+++++++ | 13% ~09m 51s
|+++++++ | 14% ~09m 41s
|++++++++ | 15% ~09m 32s
|++++++++ | 16% ~09m 23s
|+++++++++ | 17% ~09m 15s
|+++++++++ | 18% ~09m 08s
|++++++++++ | 19% ~09m 01s
|++++++++++ | 20% ~08m 54s
|+++++++++++ | 21% ~08m 46s
|+++++++++++ | 22% ~08m 40s
|++++++++++++ | 23% ~08m 33s
|++++++++++++ | 24% ~08m 26s
|+++++++++++++ | 25% ~08m 18s
|+++++++++++++ | 26% ~08m 11s
|++++++++++++++ | 27% ~08m 04s
|++++++++++++++ | 28% ~07m 56s
|+++++++++++++++ | 29% ~07m 49s
|+++++++++++++++ | 30% ~07m 42s
|++++++++++++++++ | 31% ~07m 35s
|++++++++++++++++ | 32% ~07m 28s
|+++++++++++++++++ | 33% ~07m 22s
|+++++++++++++++++ | 34% ~07m 15s
|++++++++++++++++++ | 35% ~07m 08s
|++++++++++++++++++ | 36% ~07m 01s
|+++++++++++++++++++ | 37% ~06m 54s
|+++++++++++++++++++ | 38% ~06m 47s
|++++++++++++++++++++ | 39% ~07m 08s
|++++++++++++++++++++ | 40% ~07m 01s
|+++++++++++++++++++++ | 41% ~06m 53s
|+++++++++++++++++++++ | 42% ~06m 45s
|++++++++++++++++++++++ | 43% ~06m 37s
|++++++++++++++++++++++ | 44% ~06m 30s
|+++++++++++++++++++++++ | 45% ~06m 22s
|+++++++++++++++++++++++ | 46% ~06m 15s
|++++++++++++++++++++++++ | 47% ~06m 07s
|++++++++++++++++++++++++ | 48% ~05m 60s
|+++++++++++++++++++++++++ | 49% ~05m 53s
|+++++++++++++++++++++++++ | 50% ~05m 46s
|++++++++++++++++++++++++++ | 51% ~05m 39s
|++++++++++++++++++++++++++ | 52% ~05m 31s
|+++++++++++++++++++++++++++ | 53% ~05m 24s
|+++++++++++++++++++++++++++ | 54% ~05m 17s
|++++++++++++++++++++++++++++ | 55% ~05m 10s
|++++++++++++++++++++++++++++ | 56% ~05m 03s
|+++++++++++++++++++++++++++++ | 57% ~04m 55s
|+++++++++++++++++++++++++++++ | 58% ~04m 48s
|++++++++++++++++++++++++++++++ | 59% ~04m 41s
|++++++++++++++++++++++++++++++ | 60% ~04m 34s
|+++++++++++++++++++++++++++++++ | 61% ~04m 27s
|+++++++++++++++++++++++++++++++ | 62% ~04m 20s
|++++++++++++++++++++++++++++++++ | 63% ~04m 13s
|++++++++++++++++++++++++++++++++ | 64% ~04m 06s
|+++++++++++++++++++++++++++++++++ | 65% ~03m 59s
|+++++++++++++++++++++++++++++++++ | 66% ~03m 52s
|++++++++++++++++++++++++++++++++++ | 67% ~03m 54s
|++++++++++++++++++++++++++++++++++ | 68% ~03m 47s
|+++++++++++++++++++++++++++++++++++ | 69% ~03m 39s
|+++++++++++++++++++++++++++++++++++ | 70% ~03m 33s
|++++++++++++++++++++++++++++++++++++ | 71% ~03m 25s
|++++++++++++++++++++++++++++++++++++ | 72% ~03m 18s
|+++++++++++++++++++++++++++++++++++++ | 73% ~03m 11s
|+++++++++++++++++++++++++++++++++++++ | 74% ~03m 03s
|++++++++++++++++++++++++++++++++++++++ | 75% ~02m 56s
|++++++++++++++++++++++++++++++++++++++ | 76% ~02m 49s
|+++++++++++++++++++++++++++++++++++++++ | 77% ~02m 42s
|+++++++++++++++++++++++++++++++++++++++ | 78% ~02m 35s
|++++++++++++++++++++++++++++++++++++++++ | 79% ~02m 28s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~02m 21s
|+++++++++++++++++++++++++++++++++++++++++ | 81% ~02m 14s
|+++++++++++++++++++++++++++++++++++++++++ | 82% ~02m 07s
|++++++++++++++++++++++++++++++++++++++++++ | 83% ~01m 59s
|++++++++++++++++++++++++++++++++++++++++++ | 84% ~01m 52s
|+++++++++++++++++++++++++++++++++++++++++++ | 85% ~01m 45s
|+++++++++++++++++++++++++++++++++++++++++++ | 86% ~01m 38s
|++++++++++++++++++++++++++++++++++++++++++++ | 87% ~01m 31s
|++++++++++++++++++++++++++++++++++++++++++++ | 88% ~01m 24s
|+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~01m 17s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~01m 10s
|++++++++++++++++++++++++++++++++++++++++++++++ | 91% ~01m 03s
|++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~56s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 93% ~49s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~42s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 95% ~36s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~29s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~21s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~14s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 99% ~07s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=11m 52s
[1] "Processing cluster 1 with a total of 2512 cells"
[1] FALSE
| | 0 % ~calculating
|+ | 1 % ~12m 06s
|+ | 2 % ~11m 57s
|++ | 3 % ~11m 46s
|++ | 4 % ~11m 34s
|+++ | 5 % ~11m 25s
|+++ | 6 % ~11m 17s
|++++ | 7 % ~11m 10s
|++++ | 8 % ~11m 03s
|+++++ | 9 % ~10m 56s
|+++++ | 10% ~11m 52s
|++++++ | 11% ~11m 38s
|++++++ | 12% ~11m 24s
|+++++++ | 13% ~11m 13s
|+++++++ | 14% ~11m 01s
|++++++++ | 15% ~10m 51s
|++++++++ | 16% ~10m 41s
|+++++++++ | 17% ~10m 31s
|+++++++++ | 18% ~10m 22s
|++++++++++ | 19% ~10m 15s
|++++++++++ | 20% ~10m 11s
|+++++++++++ | 21% ~10m 07s
|+++++++++++ | 22% ~10m 03s
|++++++++++++ | 23% ~09m 59s
|++++++++++++ | 24% ~09m 55s
|+++++++++++++ | 25% ~09m 51s
|+++++++++++++ | 26% ~09m 45s
|++++++++++++++ | 27% ~09m 40s
|++++++++++++++ | 28% ~09m 35s
|+++++++++++++++ | 29% ~09m 26s
|+++++++++++++++ | 30% ~09m 16s
|++++++++++++++++ | 31% ~09m 06s
|++++++++++++++++ | 32% ~09m 26s
|+++++++++++++++++ | 33% ~09m 15s
|+++++++++++++++++ | 34% ~09m 05s
|++++++++++++++++++ | 35% ~08m 55s
|++++++++++++++++++ | 36% ~08m 46s
|+++++++++++++++++++ | 37% ~08m 38s
|+++++++++++++++++++ | 38% ~08m 31s
|++++++++++++++++++++ | 39% ~08m 24s
|++++++++++++++++++++ | 40% ~08m 16s
|+++++++++++++++++++++ | 41% ~08m 06s
|+++++++++++++++++++++ | 42% ~07m 57s
|++++++++++++++++++++++ | 43% ~07m 47s
|++++++++++++++++++++++ | 44% ~07m 38s
|+++++++++++++++++++++++ | 45% ~07m 29s
|+++++++++++++++++++++++ | 46% ~07m 20s
|++++++++++++++++++++++++ | 47% ~07m 11s
|++++++++++++++++++++++++ | 48% ~07m 02s
|+++++++++++++++++++++++++ | 49% ~06m 53s
|+++++++++++++++++++++++++ | 50% ~06m 44s
|++++++++++++++++++++++++++ | 51% ~06m 36s
|++++++++++++++++++++++++++ | 52% ~06m 27s
|+++++++++++++++++++++++++++ | 53% ~06m 18s
|+++++++++++++++++++++++++++ | 54% ~06m 09s
|++++++++++++++++++++++++++++ | 55% ~06m 12s
|++++++++++++++++++++++++++++ | 56% ~06m 02s
|+++++++++++++++++++++++++++++ | 57% ~05m 53s
|+++++++++++++++++++++++++++++ | 58% ~05m 44s
|++++++++++++++++++++++++++++++ | 59% ~05m 35s
|++++++++++++++++++++++++++++++ | 60% ~05m 26s
|+++++++++++++++++++++++++++++++ | 61% ~05m 18s
|+++++++++++++++++++++++++++++++ | 62% ~05m 09s
|++++++++++++++++++++++++++++++++ | 63% ~05m 00s
|++++++++++++++++++++++++++++++++ | 64% ~04m 51s
|+++++++++++++++++++++++++++++++++ | 65% ~04m 43s
|+++++++++++++++++++++++++++++++++ | 66% ~04m 35s
|++++++++++++++++++++++++++++++++++ | 67% ~04m 26s
|++++++++++++++++++++++++++++++++++ | 68% ~04m 18s
|+++++++++++++++++++++++++++++++++++ | 69% ~04m 09s
|+++++++++++++++++++++++++++++++++++ | 70% ~04m 01s
|++++++++++++++++++++++++++++++++++++ | 71% ~03m 52s
|++++++++++++++++++++++++++++++++++++ | 72% ~03m 44s
|+++++++++++++++++++++++++++++++++++++ | 73% ~03m 36s
|+++++++++++++++++++++++++++++++++++++ | 74% ~03m 27s
|++++++++++++++++++++++++++++++++++++++ | 75% ~03m 19s
|++++++++++++++++++++++++++++++++++++++ | 76% ~03m 11s
|+++++++++++++++++++++++++++++++++++++++ | 77% ~03m 03s
|+++++++++++++++++++++++++++++++++++++++ | 78% ~02m 59s
|++++++++++++++++++++++++++++++++++++++++ | 79% ~02m 50s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~02m 42s
|+++++++++++++++++++++++++++++++++++++++++ | 81% ~02m 34s
|+++++++++++++++++++++++++++++++++++++++++ | 82% ~02m 25s
|++++++++++++++++++++++++++++++++++++++++++ | 83% ~02m 17s
|++++++++++++++++++++++++++++++++++++++++++ | 84% ~02m 09s
|+++++++++++++++++++++++++++++++++++++++++++ | 85% ~02m 01s
|+++++++++++++++++++++++++++++++++++++++++++ | 86% ~01m 52s
|++++++++++++++++++++++++++++++++++++++++++++ | 87% ~01m 44s
|++++++++++++++++++++++++++++++++++++++++++++ | 88% ~01m 36s
|+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~01m 28s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~01m 20s
|++++++++++++++++++++++++++++++++++++++++++++++ | 91% ~01m 12s
|++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~01m 04s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 93% ~56s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~48s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 95% ~40s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~32s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~24s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~16s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 99% ~08s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=13m 13s
[1] "Processing cluster 2 with a total of 2276 cells"
[1] FALSE
| | 0 % ~calculating
|+ | 1 % ~18m 01s
|+ | 2 % ~17m 39s
|++ | 3 % ~17m 28s
|++ | 4 % ~16m 28s
|+++ | 5 % ~15m 49s
|+++ | 6 % ~15m 21s
|++++ | 7 % ~14m 58s
|++++ | 8 % ~14m 47s
|+++++ | 9 % ~14m 38s
|+++++ | 10% ~14m 21s
|++++++ | 11% ~14m 06s
|++++++ | 12% ~13m 51s
|+++++++ | 13% ~13m 37s
|+++++++ | 14% ~13m 34s
|++++++++ | 15% ~13m 21s
|++++++++ | 16% ~13m 09s
|+++++++++ | 17% ~12m 57s
|+++++++++ | 18% ~12m 45s
|++++++++++ | 19% ~12m 36s
|++++++++++ | 20% ~12m 28s
|+++++++++++ | 21% ~12m 17s
|+++++++++++ | 22% ~12m 06s
|++++++++++++ | 23% ~11m 55s
|++++++++++++ | 24% ~11m 44s
|+++++++++++++ | 25% ~11m 34s
|+++++++++++++ | 26% ~12m 22s
|++++++++++++++ | 27% ~12m 13s
|++++++++++++++ | 28% ~12m 00s
|+++++++++++++++ | 29% ~11m 47s
|+++++++++++++++ | 30% ~11m 34s
|++++++++++++++++ | 31% ~11m 22s
|++++++++++++++++ | 32% ~11m 11s
|+++++++++++++++++ | 33% ~11m 01s
|+++++++++++++++++ | 34% ~10m 49s
|++++++++++++++++++ | 35% ~10m 37s
|++++++++++++++++++ | 36% ~10m 26s
|+++++++++++++++++++ | 37% ~10m 15s
|+++++++++++++++++++ | 38% ~10m 06s
|++++++++++++++++++++ | 39% ~09m 58s
|++++++++++++++++++++ | 40% ~09m 50s
|+++++++++++++++++++++ | 41% ~09m 42s
|+++++++++++++++++++++ | 42% ~09m 33s
|++++++++++++++++++++++ | 43% ~09m 22s
|++++++++++++++++++++++ | 44% ~09m 11s
|+++++++++++++++++++++++ | 45% ~08m 60s
|+++++++++++++++++++++++ | 46% ~08m 49s
|++++++++++++++++++++++++ | 47% ~08m 39s
|++++++++++++++++++++++++ | 48% ~08m 29s
|+++++++++++++++++++++++++ | 49% ~08m 18s
|+++++++++++++++++++++++++ | 50% ~08m 07s
|++++++++++++++++++++++++++ | 51% ~07m 56s
|++++++++++++++++++++++++++ | 52% ~07m 46s
|+++++++++++++++++++++++++++ | 53% ~07m 37s
|+++++++++++++++++++++++++++ | 54% ~07m 26s
|++++++++++++++++++++++++++++ | 55% ~07m 16s
|++++++++++++++++++++++++++++ | 56% ~07m 06s
|+++++++++++++++++++++++++++++ | 57% ~06m 56s
|+++++++++++++++++++++++++++++ | 58% ~06m 45s
|++++++++++++++++++++++++++++++ | 59% ~06m 56s
|++++++++++++++++++++++++++++++ | 60% ~06m 45s
|+++++++++++++++++++++++++++++++ | 61% ~06m 34s
|+++++++++++++++++++++++++++++++ | 62% ~06m 23s
|++++++++++++++++++++++++++++++++ | 63% ~06m 13s
|++++++++++++++++++++++++++++++++ | 64% ~06m 03s
|+++++++++++++++++++++++++++++++++ | 65% ~05m 52s
|+++++++++++++++++++++++++++++++++ | 66% ~05m 41s
|++++++++++++++++++++++++++++++++++ | 67% ~05m 30s
|++++++++++++++++++++++++++++++++++ | 68% ~05m 20s
|+++++++++++++++++++++++++++++++++++ | 69% ~05m 10s
|+++++++++++++++++++++++++++++++++++ | 70% ~04m 60s
|++++++++++++++++++++++++++++++++++++ | 71% ~04m 49s
|++++++++++++++++++++++++++++++++++++ | 72% ~04m 39s
|+++++++++++++++++++++++++++++++++++++ | 73% ~04m 28s
|+++++++++++++++++++++++++++++++++++++ | 74% ~04m 18s
|++++++++++++++++++++++++++++++++++++++ | 75% ~04m 08s
|++++++++++++++++++++++++++++++++++++++ | 76% ~03m 58s
|+++++++++++++++++++++++++++++++++++++++ | 77% ~03m 48s
|+++++++++++++++++++++++++++++++++++++++ | 78% ~03m 37s
|++++++++++++++++++++++++++++++++++++++++ | 79% ~03m 27s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~03m 17s
|+++++++++++++++++++++++++++++++++++++++++ | 81% ~03m 07s
|+++++++++++++++++++++++++++++++++++++++++ | 82% ~02m 57s
|++++++++++++++++++++++++++++++++++++++++++ | 83% ~02m 47s
|++++++++++++++++++++++++++++++++++++++++++ | 84% ~02m 37s
|+++++++++++++++++++++++++++++++++++++++++++ | 85% ~02m 27s
|+++++++++++++++++++++++++++++++++++++++++++ | 86% ~02m 17s
|++++++++++++++++++++++++++++++++++++++++++++ | 87% ~02m 07s
|++++++++++++++++++++++++++++++++++++++++++++ | 88% ~01m 57s
|+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~01m 48s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~01m 38s
|++++++++++++++++++++++++++++++++++++++++++++++ | 91% ~01m 28s
|++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~01m 18s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 93% ~01m 11s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~01m 00s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 95% ~50s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~40s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~30s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~20s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 99% ~10s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=16m 39s
[1] "Processing cluster 3 with a total of 1128 cells"
[1] FALSE
| | 0 % ~calculating
|+ | 1 % ~13m 21s
|+ | 2 % ~13m 18s
|++ | 3 % ~13m 23s
|++ | 4 % ~13m 45s
|+++ | 5 % ~13m 30s
|+++ | 6 % ~13m 15s
|++++ | 7 % ~13m 03s
|++++ | 8 % ~12m 52s
|+++++ | 9 % ~12m 45s
|+++++ | 10% ~12m 46s
|++++++ | 11% ~12m 35s
|++++++ | 12% ~12m 24s
|+++++++ | 13% ~12m 14s
|+++++++ | 14% ~12m 04s
|++++++++ | 15% ~11m 57s
|++++++++ | 16% ~13m 18s
|+++++++++ | 17% ~13m 03s
|+++++++++ | 18% ~12m 49s
|++++++++++ | 19% ~12m 39s
|++++++++++ | 20% ~12m 31s
|+++++++++++ | 21% ~12m 21s
|+++++++++++ | 22% ~12m 10s
|++++++++++++ | 23% ~12m 00s
|++++++++++++ | 24% ~11m 52s
|+++++++++++++ | 25% ~11m 46s
|+++++++++++++ | 26% ~11m 37s
|++++++++++++++ | 27% ~11m 27s
|++++++++++++++ | 28% ~11m 18s
|+++++++++++++++ | 29% ~11m 09s
|+++++++++++++++ | 30% ~11m 03s
|++++++++++++++++ | 31% ~10m 52s
|++++++++++++++++ | 32% ~10m 40s
|+++++++++++++++++ | 33% ~10m 29s
|+++++++++++++++++ | 34% ~10m 18s
|++++++++++++++++++ | 35% ~10m 09s
|++++++++++++++++++ | 36% ~09m 59s
|+++++++++++++++++++ | 37% ~09m 49s
|+++++++++++++++++++ | 38% ~09m 38s
|++++++++++++++++++++ | 39% ~09m 28s
|++++++++++++++++++++ | 40% ~09m 17s
|+++++++++++++++++++++ | 41% ~09m 09s
|+++++++++++++++++++++ | 42% ~08m 59s
|++++++++++++++++++++++ | 43% ~08m 49s
|++++++++++++++++++++++ | 44% ~08m 38s
|+++++++++++++++++++++++ | 45% ~08m 28s
|+++++++++++++++++++++++ | 46% ~08m 19s
|++++++++++++++++++++++++ | 47% ~08m 38s
|++++++++++++++++++++++++ | 48% ~08m 27s
|+++++++++++++++++++++++++ | 49% ~08m 16s
|+++++++++++++++++++++++++ | 50% ~08m 06s
|++++++++++++++++++++++++++ | 51% ~07m 56s
|++++++++++++++++++++++++++ | 52% ~07m 45s
|+++++++++++++++++++++++++++ | 53% ~07m 35s
|+++++++++++++++++++++++++++ | 54% ~07m 25s
|++++++++++++++++++++++++++++ | 55% ~07m 17s
|++++++++++++++++++++++++++++ | 56% ~07m 07s
|+++++++++++++++++++++++++++++ | 57% ~06m 57s
|+++++++++++++++++++++++++++++ | 58% ~06m 47s
|++++++++++++++++++++++++++++++ | 59% ~06m 37s
|++++++++++++++++++++++++++++++ | 60% ~06m 28s
|+++++++++++++++++++++++++++++++ | 61% ~06m 18s
|+++++++++++++++++++++++++++++++ | 62% ~06m 09s
|++++++++++++++++++++++++++++++++ | 63% ~05m 59s
|++++++++++++++++++++++++++++++++ | 64% ~05m 48s
|+++++++++++++++++++++++++++++++++ | 65% ~05m 38s
|+++++++++++++++++++++++++++++++++ | 66% ~05m 28s
|++++++++++++++++++++++++++++++++++ | 67% ~05m 18s
|++++++++++++++++++++++++++++++++++ | 68% ~05m 08s
|+++++++++++++++++++++++++++++++++++ | 69% ~04m 58s
|+++++++++++++++++++++++++++++++++++ | 70% ~04m 48s
|++++++++++++++++++++++++++++++++++++ | 71% ~04m 37s
|++++++++++++++++++++++++++++++++++++ | 72% ~04m 28s
|+++++++++++++++++++++++++++++++++++++ | 73% ~04m 18s
|+++++++++++++++++++++++++++++++++++++ | 74% ~04m 08s
|++++++++++++++++++++++++++++++++++++++ | 75% ~03m 58s
|++++++++++++++++++++++++++++++++++++++ | 76% ~03m 48s
|+++++++++++++++++++++++++++++++++++++++ | 77% ~03m 38s
|+++++++++++++++++++++++++++++++++++++++ | 78% ~03m 28s
|++++++++++++++++++++++++++++++++++++++++ | 79% ~03m 25s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~03m 15s
|+++++++++++++++++++++++++++++++++++++++++ | 81% ~03m 05s
|+++++++++++++++++++++++++++++++++++++++++ | 82% ~02m 55s
|++++++++++++++++++++++++++++++++++++++++++ | 83% ~02m 45s
|++++++++++++++++++++++++++++++++++++++++++ | 84% ~02m 35s
|+++++++++++++++++++++++++++++++++++++++++++ | 85% ~02m 25s
|+++++++++++++++++++++++++++++++++++++++++++ | 86% ~02m 16s
|++++++++++++++++++++++++++++++++++++++++++++ | 87% ~02m 06s
|++++++++++++++++++++++++++++++++++++++++++++ | 88% ~01m 56s
|+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~01m 47s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~01m 37s
|++++++++++++++++++++++++++++++++++++++++++++++ | 91% ~01m 27s
|++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~01m 18s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 93% ~01m 08s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~58s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 95% ~48s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~39s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~29s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~19s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 99% ~10s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=15m 58s
[1] "Processing cluster 4 with a total of 1038 cells"
[1] FALSE
| | 0 % ~calculating
|+ | 1 % ~11m 50s
|+ | 2 % ~11m 41s
|++ | 3 % ~11m 40s
|++ | 4 % ~11m 40s
|+++ | 5 % ~11m 42s
|+++ | 6 % ~12m 06s
|++++ | 7 % ~12m 02s
|++++ | 8 % ~11m 56s
|+++++ | 9 % ~11m 51s
|+++++ | 10% ~11m 46s
|++++++ | 11% ~11m 40s
|++++++ | 12% ~11m 46s
|+++++++ | 13% ~11m 40s
|+++++++ | 14% ~11m 33s
|++++++++ | 15% ~11m 26s
|++++++++ | 16% ~11m 19s
|+++++++++ | 17% ~11m 13s
|+++++++++ | 18% ~11m 13s
|++++++++++ | 19% ~11m 03s
|++++++++++ | 20% ~10m 52s
|+++++++++++ | 21% ~10m 41s
|+++++++++++ | 22% ~10m 30s
|++++++++++++ | 23% ~10m 21s
|++++++++++++ | 24% ~10m 16s
|+++++++++++++ | 25% ~10m 07s
|+++++++++++++ | 26% ~09m 57s
|++++++++++++++ | 27% ~09m 49s
|++++++++++++++ | 28% ~09m 43s
|+++++++++++++++ | 29% ~09m 34s
|+++++++++++++++ | 30% ~09m 24s
|++++++++++++++++ | 31% ~10m 07s
|++++++++++++++++ | 32% ~09m 56s
|+++++++++++++++++ | 33% ~09m 44s
|+++++++++++++++++ | 34% ~09m 34s
|++++++++++++++++++ | 35% ~09m 23s
|++++++++++++++++++ | 36% ~09m 13s
|+++++++++++++++++++ | 37% ~09m 03s
|+++++++++++++++++++ | 38% ~08m 53s
|++++++++++++++++++++ | 39% ~08m 43s
|++++++++++++++++++++ | 40% ~08m 34s
|+++++++++++++++++++++ | 41% ~08m 25s
|+++++++++++++++++++++ | 42% ~08m 16s
|++++++++++++++++++++++ | 43% ~08m 07s
|++++++++++++++++++++++ | 44% ~07m 58s
|+++++++++++++++++++++++ | 45% ~07m 49s
|+++++++++++++++++++++++ | 46% ~07m 40s
|++++++++++++++++++++++++ | 47% ~07m 31s
|++++++++++++++++++++++++ | 48% ~07m 23s
|+++++++++++++++++++++++++ | 49% ~07m 14s
|+++++++++++++++++++++++++ | 50% ~07m 04s
|++++++++++++++++++++++++++ | 51% ~06m 55s
|++++++++++++++++++++++++++ | 52% ~06m 45s
|+++++++++++++++++++++++++++ | 53% ~06m 36s
|+++++++++++++++++++++++++++ | 54% ~06m 27s
|++++++++++++++++++++++++++++ | 55% ~06m 17s
|++++++++++++++++++++++++++++ | 56% ~06m 08s
|+++++++++++++++++++++++++++++ | 57% ~05m 59s
|+++++++++++++++++++++++++++++ | 58% ~05m 50s
|++++++++++++++++++++++++++++++ | 59% ~05m 41s
|++++++++++++++++++++++++++++++ | 60% ~05m 33s
|+++++++++++++++++++++++++++++++ | 61% ~05m 39s
|+++++++++++++++++++++++++++++++ | 62% ~05m 30s
|++++++++++++++++++++++++++++++++ | 63% ~05m 20s
|++++++++++++++++++++++++++++++++ | 64% ~05m 11s
|+++++++++++++++++++++++++++++++++ | 65% ~05m 01s
|+++++++++++++++++++++++++++++++++ | 66% ~04m 52s
|++++++++++++++++++++++++++++++++++ | 67% ~04m 43s
|++++++++++++++++++++++++++++++++++ | 68% ~04m 34s
|+++++++++++++++++++++++++++++++++++ | 69% ~04m 26s
|+++++++++++++++++++++++++++++++++++ | 70% ~04m 17s
|++++++++++++++++++++++++++++++++++++ | 71% ~04m 08s
|++++++++++++++++++++++++++++++++++++ | 72% ~03m 60s
|+++++++++++++++++++++++++++++++++++++ | 73% ~03m 51s
|+++++++++++++++++++++++++++++++++++++ | 74% ~03m 42s
|++++++++++++++++++++++++++++++++++++++ | 75% ~03m 34s
|++++++++++++++++++++++++++++++++++++++ | 76% ~03m 25s
|+++++++++++++++++++++++++++++++++++++++ | 77% ~03m 17s
|+++++++++++++++++++++++++++++++++++++++ | 78% ~03m 08s
|++++++++++++++++++++++++++++++++++++++++ | 79% ~02m 60s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~02m 51s
|+++++++++++++++++++++++++++++++++++++++++ | 81% ~02m 42s
|+++++++++++++++++++++++++++++++++++++++++ | 82% ~02m 34s
|++++++++++++++++++++++++++++++++++++++++++ | 83% ~02m 25s
|++++++++++++++++++++++++++++++++++++++++++ | 84% ~02m 16s
|+++++++++++++++++++++++++++++++++++++++++++ | 85% ~02m 08s
|+++++++++++++++++++++++++++++++++++++++++++ | 86% ~01m 59s
|++++++++++++++++++++++++++++++++++++++++++++ | 87% ~01m 50s
|++++++++++++++++++++++++++++++++++++++++++++ | 88% ~01m 42s
|+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~01m 33s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~01m 25s
|++++++++++++++++++++++++++++++++++++++++++++++ | 91% ~01m 16s
|++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~01m 10s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 93% ~01m 01s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~52s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 95% ~43s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~35s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~26s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~17s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 99% ~09s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=14m 19s
[1] "Processing cluster 5 with a total of 940 cells"
[1] FALSE
| | 0 % ~calculating
|+ | 1 % ~15m 49s
|+ | 2 % ~17m 01s
|++ | 3 % ~16m 46s
|++ | 4 % ~16m 21s
|+++ | 5 % ~16m 04s
|+++ | 6 % ~15m 50s
|++++ | 7 % ~15m 45s
|++++ | 8 % ~15m 43s
|+++++ | 9 % ~15m 29s
|+++++ | 10% ~17m 07s
|++++++ | 11% ~16m 33s
|++++++ | 12% ~16m 05s
|+++++++ | 13% ~15m 41s
|+++++++ | 14% ~15m 20s
|++++++++ | 15% ~15m 03s
|++++++++ | 16% ~14m 46s
|+++++++++ | 17% ~14m 31s
|+++++++++ | 18% ~14m 17s
|++++++++++ | 19% ~14m 04s
|++++++++++ | 20% ~13m 52s
|+++++++++++ | 21% ~13m 39s
|+++++++++++ | 22% ~13m 28s
|++++++++++++ | 23% ~13m 16s
|++++++++++++ | 24% ~13m 03s
|+++++++++++++ | 25% ~12m 51s
|+++++++++++++ | 26% ~12m 39s
|++++++++++++++ | 27% ~12m 27s
|++++++++++++++ | 28% ~12m 13s
|+++++++++++++++ | 29% ~12m 00s
|+++++++++++++++ | 30% ~11m 47s
|++++++++++++++++ | 31% ~11m 34s
|++++++++++++++++ | 32% ~11m 21s
|+++++++++++++++++ | 33% ~11m 08s
|+++++++++++++++++ | 34% ~11m 34s
|++++++++++++++++++ | 35% ~11m 20s
|++++++++++++++++++ | 36% ~11m 06s
|+++++++++++++++++++ | 37% ~10m 53s
|+++++++++++++++++++ | 38% ~10m 40s
|++++++++++++++++++++ | 39% ~10m 28s
|++++++++++++++++++++ | 40% ~10m 17s
|+++++++++++++++++++++ | 41% ~10m 05s
|+++++++++++++++++++++ | 42% ~09m 54s
|++++++++++++++++++++++ | 43% ~09m 45s
|++++++++++++++++++++++ | 44% ~09m 34s
|+++++++++++++++++++++++ | 45% ~09m 23s
|+++++++++++++++++++++++ | 46% ~09m 12s
|++++++++++++++++++++++++ | 47% ~09m 01s
|++++++++++++++++++++++++ | 48% ~08m 50s
|+++++++++++++++++++++++++ | 49% ~08m 40s
|+++++++++++++++++++++++++ | 50% ~08m 29s
|++++++++++++++++++++++++++ | 51% ~08m 19s
|++++++++++++++++++++++++++ | 52% ~08m 08s
|+++++++++++++++++++++++++++ | 53% ~07m 57s
|+++++++++++++++++++++++++++ | 54% ~07m 45s
|++++++++++++++++++++++++++++ | 55% ~07m 34s
|++++++++++++++++++++++++++++ | 56% ~07m 23s
|+++++++++++++++++++++++++++++ | 57% ~07m 12s
|+++++++++++++++++++++++++++++ | 58% ~07m 01s
|++++++++++++++++++++++++++++++ | 59% ~07m 05s
|++++++++++++++++++++++++++++++ | 60% ~06m 54s
|+++++++++++++++++++++++++++++++ | 61% ~06m 42s
|+++++++++++++++++++++++++++++++ | 62% ~06m 32s
|++++++++++++++++++++++++++++++++ | 63% ~06m 21s
|++++++++++++++++++++++++++++++++ | 64% ~06m 10s
|+++++++++++++++++++++++++++++++++ | 65% ~05m 60s
|+++++++++++++++++++++++++++++++++ | 66% ~05m 49s
|++++++++++++++++++++++++++++++++++ | 67% ~05m 39s
|++++++++++++++++++++++++++++++++++ | 68% ~05m 29s
|+++++++++++++++++++++++++++++++++++ | 69% ~05m 18s
|+++++++++++++++++++++++++++++++++++ | 70% ~05m 08s
|++++++++++++++++++++++++++++++++++++ | 71% ~04m 58s
|++++++++++++++++++++++++++++++++++++ | 72% ~04m 47s
|+++++++++++++++++++++++++++++++++++++ | 73% ~04m 37s
|+++++++++++++++++++++++++++++++++++++ | 74% ~04m 27s
|++++++++++++++++++++++++++++++++++++++ | 75% ~04m 16s
|++++++++++++++++++++++++++++++++++++++ | 76% ~04m 06s
|+++++++++++++++++++++++++++++++++++++++ | 77% ~03m 55s
|+++++++++++++++++++++++++++++++++++++++ | 78% ~03m 45s
|++++++++++++++++++++++++++++++++++++++++ | 79% ~03m 35s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~03m 24s
|+++++++++++++++++++++++++++++++++++++++++ | 81% ~03m 14s
|+++++++++++++++++++++++++++++++++++++++++ | 82% ~03m 03s
|++++++++++++++++++++++++++++++++++++++++++ | 83% ~02m 57s
|++++++++++++++++++++++++++++++++++++++++++ | 84% ~02m 46s
|+++++++++++++++++++++++++++++++++++++++++++ | 85% ~02m 35s
|+++++++++++++++++++++++++++++++++++++++++++ | 86% ~02m 25s
|++++++++++++++++++++++++++++++++++++++++++++ | 87% ~02m 14s
|++++++++++++++++++++++++++++++++++++++++++++ | 88% ~02m 04s
|+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~01m 53s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~01m 43s
|++++++++++++++++++++++++++++++++++++++++++++++ | 91% ~01m 33s
|++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~01m 22s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 93% ~01m 12s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~01m 02s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 95% ~51s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~41s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~31s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~20s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 99% ~10s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=16m 55s
[1] "Processing cluster 6 with a total of 912 cells"
[1] FALSE
| | 0 % ~calculating
|+ | 1 % ~12m 27s
|+ | 2 % ~12m 57s
|++ | 3 % ~12m 54s
|++ | 4 % ~12m 48s
|+++ | 5 % ~12m 45s
|+++ | 6 % ~12m 42s
|++++ | 7 % ~12m 38s
|++++ | 8 % ~12m 35s
|+++++ | 9 % ~12m 31s
|+++++ | 10% ~12m 26s
|++++++ | 11% ~12m 21s
|++++++ | 12% ~12m 16s
|+++++++ | 13% ~12m 10s
|+++++++ | 14% ~12m 04s
|++++++++ | 15% ~11m 58s
|++++++++ | 16% ~11m 52s
|+++++++++ | 17% ~11m 45s
|+++++++++ | 18% ~12m 32s
|++++++++++ | 19% ~12m 18s
|++++++++++ | 20% ~12m 04s
|+++++++++++ | 21% ~11m 51s
|+++++++++++ | 22% ~11m 41s
|++++++++++++ | 23% ~11m 35s
|++++++++++++ | 24% ~11m 25s
|+++++++++++++ | 25% ~11m 14s
|+++++++++++++ | 26% ~11m 04s
|++++++++++++++ | 27% ~10m 55s
|++++++++++++++ | 28% ~10m 47s
|+++++++++++++++ | 29% ~10m 40s
|+++++++++++++++ | 30% ~10m 30s
|++++++++++++++++ | 31% ~10m 21s
|++++++++++++++++ | 32% ~10m 12s
|+++++++++++++++++ | 33% ~10m 02s
|+++++++++++++++++ | 34% ~09m 56s
|++++++++++++++++++ | 35% ~10m 08s
|++++++++++++++++++ | 36% ~09m 56s
|+++++++++++++++++++ | 37% ~09m 45s
|+++++++++++++++++++ | 38% ~09m 34s
|++++++++++++++++++++ | 39% ~09m 23s
|++++++++++++++++++++ | 40% ~09m 13s
|+++++++++++++++++++++ | 41% ~09m 03s
|+++++++++++++++++++++ | 42% ~08m 55s
|++++++++++++++++++++++ | 43% ~08m 46s
|++++++++++++++++++++++ | 44% ~08m 36s
|+++++++++++++++++++++++ | 45% ~08m 26s
|+++++++++++++++++++++++ | 46% ~08m 16s
|++++++++++++++++++++++++ | 47% ~08m 07s
|++++++++++++++++++++++++ | 48% ~07m 59s
|+++++++++++++++++++++++++ | 49% ~07m 49s
|+++++++++++++++++++++++++ | 50% ~07m 40s
|++++++++++++++++++++++++++ | 51% ~07m 30s
|++++++++++++++++++++++++++ | 52% ~07m 32s
|+++++++++++++++++++++++++++ | 53% ~07m 21s
|+++++++++++++++++++++++++++ | 54% ~07m 10s
|++++++++++++++++++++++++++++ | 55% ~06m 60s
|++++++++++++++++++++++++++++ | 56% ~06m 50s
|+++++++++++++++++++++++++++++ | 57% ~06m 40s
|+++++++++++++++++++++++++++++ | 58% ~06m 31s
|++++++++++++++++++++++++++++++ | 59% ~06m 21s
|++++++++++++++++++++++++++++++ | 60% ~06m 11s
|+++++++++++++++++++++++++++++++ | 61% ~06m 01s
|+++++++++++++++++++++++++++++++ | 62% ~05m 52s
|++++++++++++++++++++++++++++++++ | 63% ~05m 43s
|++++++++++++++++++++++++++++++++ | 64% ~05m 34s
|+++++++++++++++++++++++++++++++++ | 65% ~05m 24s
|+++++++++++++++++++++++++++++++++ | 66% ~05m 15s
|++++++++++++++++++++++++++++++++++ | 67% ~05m 05s
|++++++++++++++++++++++++++++++++++ | 68% ~04m 56s
|+++++++++++++++++++++++++++++++++++ | 69% ~04m 52s
|+++++++++++++++++++++++++++++++++++ | 70% ~04m 42s
|++++++++++++++++++++++++++++++++++++ | 71% ~04m 32s
|++++++++++++++++++++++++++++++++++++ | 72% ~04m 22s
|+++++++++++++++++++++++++++++++++++++ | 73% ~04m 12s
|+++++++++++++++++++++++++++++++++++++ | 74% ~04m 03s
|++++++++++++++++++++++++++++++++++++++ | 75% ~03m 53s
|++++++++++++++++++++++++++++++++++++++ | 76% ~03m 44s
|+++++++++++++++++++++++++++++++++++++++ | 77% ~03m 34s
|+++++++++++++++++++++++++++++++++++++++ | 78% ~03m 25s
|++++++++++++++++++++++++++++++++++++++++ | 79% ~03m 16s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~03m 06s
|+++++++++++++++++++++++++++++++++++++++++ | 81% ~02m 57s
|+++++++++++++++++++++++++++++++++++++++++ | 82% ~02m 47s
|++++++++++++++++++++++++++++++++++++++++++ | 83% ~02m 38s
|++++++++++++++++++++++++++++++++++++++++++ | 84% ~02m 29s
|+++++++++++++++++++++++++++++++++++++++++++ | 85% ~02m 20s
|+++++++++++++++++++++++++++++++++++++++++++ | 86% ~02m 12s
|++++++++++++++++++++++++++++++++++++++++++++ | 87% ~02m 02s
|++++++++++++++++++++++++++++++++++++++++++++ | 88% ~01m 53s
|+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~01m 43s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~01m 34s
|++++++++++++++++++++++++++++++++++++++++++++++ | 91% ~01m 24s
|++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~01m 15s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 93% ~01m 06s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~56s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 95% ~47s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~37s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~28s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~19s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 99% ~09s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=15m 28s
[1] "Processing cluster 7 with a total of 862 cells"
[1] FALSE
| | 0 % ~calculating
|+ | 1 % ~13m 23s
|+ | 2 % ~13m 19s
|++ | 3 % ~13m 45s
|++ | 4 % ~13m 54s
|+++ | 5 % ~13m 46s
|+++ | 6 % ~13m 40s
|++++ | 7 % ~13m 35s
|++++ | 8 % ~13m 31s
|+++++ | 9 % ~13m 40s
|+++++ | 10% ~13m 32s
|++++++ | 11% ~13m 25s
|++++++ | 12% ~13m 17s
|+++++++ | 13% ~13m 09s
|+++++++ | 14% ~13m 10s
|++++++++ | 15% ~13m 02s
|++++++++ | 16% ~12m 53s
|+++++++++ | 17% ~12m 44s
|+++++++++ | 18% ~12m 35s
|++++++++++ | 19% ~12m 31s
|++++++++++ | 20% ~12m 22s
|+++++++++++ | 21% ~12m 10s
|+++++++++++ | 22% ~11m 58s
|++++++++++++ | 23% ~11m 47s
|++++++++++++ | 24% ~11m 40s
|+++++++++++++ | 25% ~11m 28s
|+++++++++++++ | 26% ~11m 17s
|++++++++++++++ | 27% ~11m 06s
|++++++++++++++ | 28% ~11m 58s
|+++++++++++++++ | 29% ~11m 43s
|+++++++++++++++ | 30% ~11m 29s
|++++++++++++++++ | 31% ~11m 16s
|++++++++++++++++ | 32% ~11m 04s
|+++++++++++++++++ | 33% ~10m 53s
|+++++++++++++++++ | 34% ~10m 41s
|++++++++++++++++++ | 35% ~10m 30s
|++++++++++++++++++ | 36% ~10m 22s
|+++++++++++++++++++ | 37% ~10m 12s
|+++++++++++++++++++ | 38% ~10m 02s
|++++++++++++++++++++ | 39% ~09m 51s
|++++++++++++++++++++ | 40% ~09m 41s
|+++++++++++++++++++++ | 41% ~09m 33s
|+++++++++++++++++++++ | 42% ~09m 23s
|++++++++++++++++++++++ | 43% ~09m 13s
|++++++++++++++++++++++ | 44% ~09m 03s
|+++++++++++++++++++++++ | 45% ~08m 53s
|+++++++++++++++++++++++ | 46% ~08m 44s
|++++++++++++++++++++++++ | 47% ~08m 35s
|++++++++++++++++++++++++ | 48% ~08m 24s
|+++++++++++++++++++++++++ | 49% ~08m 14s
|+++++++++++++++++++++++++ | 50% ~08m 04s
|++++++++++++++++++++++++++ | 51% ~07m 53s
|++++++++++++++++++++++++++ | 52% ~07m 43s
|+++++++++++++++++++++++++++ | 53% ~07m 32s
|+++++++++++++++++++++++++++ | 54% ~07m 22s
|++++++++++++++++++++++++++++ | 55% ~07m 12s
|++++++++++++++++++++++++++++ | 56% ~07m 02s
|+++++++++++++++++++++++++++++ | 57% ~06m 51s
|+++++++++++++++++++++++++++++ | 58% ~06m 41s
|++++++++++++++++++++++++++++++ | 59% ~06m 31s
|++++++++++++++++++++++++++++++ | 60% ~06m 21s
|+++++++++++++++++++++++++++++++ | 61% ~06m 11s
|+++++++++++++++++++++++++++++++ | 62% ~06m 01s
|++++++++++++++++++++++++++++++++ | 63% ~06m 09s
|++++++++++++++++++++++++++++++++ | 64% ~05m 58s
|+++++++++++++++++++++++++++++++++ | 65% ~05m 47s
|+++++++++++++++++++++++++++++++++ | 66% ~05m 36s
|++++++++++++++++++++++++++++++++++ | 67% ~05m 26s
|++++++++++++++++++++++++++++++++++ | 68% ~05m 16s
|+++++++++++++++++++++++++++++++++++ | 69% ~05m 06s
|+++++++++++++++++++++++++++++++++++ | 70% ~04m 56s
|++++++++++++++++++++++++++++++++++++ | 71% ~04m 46s
|++++++++++++++++++++++++++++++++++++ | 72% ~04m 36s
|+++++++++++++++++++++++++++++++++++++ | 73% ~04m 26s
|+++++++++++++++++++++++++++++++++++++ | 74% ~04m 17s
|++++++++++++++++++++++++++++++++++++++ | 75% ~04m 07s
|++++++++++++++++++++++++++++++++++++++ | 76% ~03m 58s
|+++++++++++++++++++++++++++++++++++++++ | 77% ~03m 48s
|+++++++++++++++++++++++++++++++++++++++ | 78% ~03m 39s
|++++++++++++++++++++++++++++++++++++++++ | 79% ~03m 29s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~03m 20s
|+++++++++++++++++++++++++++++++++++++++++ | 81% ~03m 10s
|+++++++++++++++++++++++++++++++++++++++++ | 82% ~03m 01s
|++++++++++++++++++++++++++++++++++++++++++ | 83% ~02m 50s
|++++++++++++++++++++++++++++++++++++++++++ | 84% ~02m 40s
|+++++++++++++++++++++++++++++++++++++++++++ | 85% ~02m 30s
|+++++++++++++++++++++++++++++++++++++++++++ | 86% ~02m 20s
|++++++++++++++++++++++++++++++++++++++++++++ | 87% ~02m 10s
|++++++++++++++++++++++++++++++++++++++++++++ | 88% ~01m 59s
|+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~01m 49s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~01m 39s
|++++++++++++++++++++++++++++++++++++++++++++++ | 91% ~01m 29s
|++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~01m 19s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 93% ~01m 09s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~59s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 95% ~49s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~39s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~30s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~20s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 99% ~10s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=16m 48s
[1] "Processing cluster 8 with a total of 639 cells"
[1] FALSE
| | 0 % ~calculating
|+ | 1 % ~13m 45s
|+ | 2 % ~13m 04s
|++ | 3 % ~12m 35s
|++ | 4 % ~12m 20s
|+++ | 5 % ~12m 09s
|+++ | 6 % ~11m 59s
|++++ | 7 % ~11m 58s
|++++ | 8 % ~12m 03s
|+++++ | 9 % ~11m 53s
|+++++ | 10% ~11m 44s
|++++++ | 11% ~11m 35s
|++++++ | 12% ~11m 27s
|+++++++ | 13% ~11m 20s
|+++++++ | 14% ~11m 21s
|++++++++ | 15% ~11m 12s
|++++++++ | 16% ~11m 03s
|+++++++++ | 17% ~10m 55s
|+++++++++ | 18% ~10m 47s
|++++++++++ | 19% ~10m 35s
|++++++++++ | 20% ~10m 27s
|+++++++++++ | 21% ~11m 31s
|+++++++++++ | 22% ~11m 14s
|++++++++++++ | 23% ~10m 59s
|++++++++++++ | 24% ~10m 47s
|+++++++++++++ | 25% ~10m 37s
|+++++++++++++ | 26% ~10m 25s
|++++++++++++++ | 27% ~10m 13s
|++++++++++++++ | 28% ~10m 02s
|+++++++++++++++ | 29% ~09m 52s
|+++++++++++++++ | 30% ~09m 42s
|++++++++++++++++ | 31% ~09m 34s
|++++++++++++++++ | 32% ~09m 26s
|+++++++++++++++++ | 33% ~09m 16s
|+++++++++++++++++ | 34% ~09m 06s
|++++++++++++++++++ | 35% ~08m 57s
|++++++++++++++++++ | 36% ~08m 48s
|+++++++++++++++++++ | 37% ~08m 40s
|+++++++++++++++++++ | 38% ~08m 32s
|++++++++++++++++++++ | 39% ~08m 23s
|++++++++++++++++++++ | 40% ~08m 14s
|+++++++++++++++++++++ | 41% ~08m 05s
|+++++++++++++++++++++ | 42% ~07m 56s
|++++++++++++++++++++++ | 43% ~07m 48s
|++++++++++++++++++++++ | 44% ~07m 40s
|+++++++++++++++++++++++ | 45% ~07m 30s
|+++++++++++++++++++++++ | 46% ~07m 20s
|++++++++++++++++++++++++ | 47% ~07m 11s
|++++++++++++++++++++++++ | 48% ~07m 01s
|+++++++++++++++++++++++++ | 49% ~06m 52s
|+++++++++++++++++++++++++ | 50% ~06m 43s
|++++++++++++++++++++++++++ | 51% ~06m 35s
|++++++++++++++++++++++++++ | 52% ~06m 26s
|+++++++++++++++++++++++++++ | 53% ~06m 17s
|+++++++++++++++++++++++++++ | 54% ~06m 08s
|++++++++++++++++++++++++++++ | 55% ~06m 21s
|++++++++++++++++++++++++++++ | 56% ~06m 12s
|+++++++++++++++++++++++++++++ | 57% ~06m 02s
|+++++++++++++++++++++++++++++ | 58% ~05m 52s
|++++++++++++++++++++++++++++++ | 59% ~05m 43s
|++++++++++++++++++++++++++++++ | 60% ~05m 34s
|+++++++++++++++++++++++++++++++ | 61% ~05m 26s
|+++++++++++++++++++++++++++++++ | 62% ~05m 17s
|++++++++++++++++++++++++++++++++ | 63% ~05m 08s
|++++++++++++++++++++++++++++++++ | 64% ~04m 60s
|+++++++++++++++++++++++++++++++++ | 65% ~04m 51s
|+++++++++++++++++++++++++++++++++ | 66% ~04m 42s
|++++++++++++++++++++++++++++++++++ | 67% ~04m 34s
|++++++++++++++++++++++++++++++++++ | 68% ~04m 26s
|+++++++++++++++++++++++++++++++++++ | 69% ~04m 17s
|+++++++++++++++++++++++++++++++++++ | 70% ~04m 09s
|++++++++++++++++++++++++++++++++++++ | 71% ~04m 00s
|++++++++++++++++++++++++++++++++++++ | 72% ~03m 52s
|+++++++++++++++++++++++++++++++++++++ | 73% ~03m 43s
|+++++++++++++++++++++++++++++++++++++ | 74% ~03m 35s
|++++++++++++++++++++++++++++++++++++++ | 75% ~03m 27s
|++++++++++++++++++++++++++++++++++++++ | 76% ~03m 19s
|+++++++++++++++++++++++++++++++++++++++ | 77% ~03m 10s
|+++++++++++++++++++++++++++++++++++++++ | 78% ~03m 02s
|++++++++++++++++++++++++++++++++++++++++ | 79% ~02m 54s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~02m 45s
|+++++++++++++++++++++++++++++++++++++++++ | 81% ~02m 37s
|+++++++++++++++++++++++++++++++++++++++++ | 82% ~02m 29s
|++++++++++++++++++++++++++++++++++++++++++ | 83% ~02m 21s
|++++++++++++++++++++++++++++++++++++++++++ | 84% ~02m 12s
|+++++++++++++++++++++++++++++++++++++++++++ | 85% ~02m 04s
|+++++++++++++++++++++++++++++++++++++++++++ | 86% ~01m 55s
|++++++++++++++++++++++++++++++++++++++++++++ | 87% ~01m 47s
|++++++++++++++++++++++++++++++++++++++++++++ | 88% ~01m 42s
|+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~01m 33s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~01m 25s
|++++++++++++++++++++++++++++++++++++++++++++++ | 91% ~01m 16s
|++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~01m 08s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 93% ~59s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~51s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 95% ~42s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~34s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~25s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~17s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 99% ~08s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=13m 57s
[1] "Processing cluster 9 with a total of 374 cells"
[1] FALSE
| | 0 % ~calculating
|+ | 1 % ~15m 59s
|+ | 2 % ~15m 53s
|++ | 3 % ~15m 41s
|++ | 4 % ~15m 56s
|+++ | 5 % ~15m 52s
|+++ | 6 % ~15m 37s
|++++ | 7 % ~15m 24s
|++++ | 8 % ~18m 33s
|+++++ | 9 % ~18m 01s
|+++++ | 10% ~17m 37s
|++++++ | 11% ~17m 17s
|++++++ | 12% ~17m 01s
|+++++++ | 13% ~16m 47s
|+++++++ | 14% ~16m 32s
|++++++++ | 15% ~16m 08s
|++++++++ | 16% ~15m 46s
|+++++++++ | 17% ~15m 26s
|+++++++++ | 18% ~15m 07s
|++++++++++ | 19% ~14m 54s
|++++++++++ | 20% ~14m 39s
|+++++++++++ | 21% ~14m 23s
|+++++++++++ | 22% ~14m 08s
|++++++++++++ | 23% ~13m 53s
|++++++++++++ | 24% ~13m 41s
|+++++++++++++ | 25% ~13m 28s
|+++++++++++++ | 26% ~13m 15s
|++++++++++++++ | 27% ~13m 04s
|++++++++++++++ | 28% ~12m 49s
|+++++++++++++++ | 29% ~12m 34s
|+++++++++++++++ | 30% ~12m 19s
|++++++++++++++++ | 31% ~12m 04s
|++++++++++++++++ | 32% ~11m 50s
|+++++++++++++++++ | 33% ~11m 39s
|+++++++++++++++++ | 34% ~12m 11s
|++++++++++++++++++ | 35% ~11m 57s
|++++++++++++++++++ | 36% ~11m 42s
|+++++++++++++++++++ | 37% ~11m 27s
|+++++++++++++++++++ | 38% ~11m 13s
|++++++++++++++++++++ | 39% ~10m 59s
|++++++++++++++++++++ | 40% ~10m 49s
|+++++++++++++++++++++ | 41% ~10m 36s
|+++++++++++++++++++++ | 42% ~10m 23s
|++++++++++++++++++++++ | 43% ~10m 11s
|++++++++++++++++++++++ | 44% ~09m 59s
|+++++++++++++++++++++++ | 45% ~09m 47s
|+++++++++++++++++++++++ | 46% ~09m 35s
|++++++++++++++++++++++++ | 47% ~09m 24s
|++++++++++++++++++++++++ | 48% ~09m 12s
|+++++++++++++++++++++++++ | 49% ~09m 02s
|+++++++++++++++++++++++++ | 50% ~08m 51s
|++++++++++++++++++++++++++ | 51% ~08m 39s
|++++++++++++++++++++++++++ | 52% ~08m 28s
|+++++++++++++++++++++++++++ | 53% ~08m 16s
|+++++++++++++++++++++++++++ | 54% ~08m 05s
|++++++++++++++++++++++++++++ | 55% ~07m 54s
|++++++++++++++++++++++++++++ | 56% ~07m 42s
|+++++++++++++++++++++++++++++ | 57% ~07m 30s
|+++++++++++++++++++++++++++++ | 58% ~07m 18s
|++++++++++++++++++++++++++++++ | 59% ~07m 07s
|++++++++++++++++++++++++++++++ | 60% ~07m 12s
|+++++++++++++++++++++++++++++++ | 61% ~06m 59s
|+++++++++++++++++++++++++++++++ | 62% ~06m 47s
|++++++++++++++++++++++++++++++++ | 63% ~06m 36s
|++++++++++++++++++++++++++++++++ | 64% ~06m 25s
|+++++++++++++++++++++++++++++++++ | 65% ~06m 13s
|+++++++++++++++++++++++++++++++++ | 66% ~06m 02s
|++++++++++++++++++++++++++++++++++ | 67% ~05m 51s
|++++++++++++++++++++++++++++++++++ | 68% ~05m 40s
|+++++++++++++++++++++++++++++++++++ | 69% ~05m 29s
|+++++++++++++++++++++++++++++++++++ | 70% ~05m 18s
|++++++++++++++++++++++++++++++++++++ | 71% ~05m 07s
|++++++++++++++++++++++++++++++++++++ | 72% ~04m 56s
|+++++++++++++++++++++++++++++++++++++ | 73% ~04m 45s
|+++++++++++++++++++++++++++++++++++++ | 74% ~04m 34s
|++++++++++++++++++++++++++++++++++++++ | 75% ~04m 24s
|++++++++++++++++++++++++++++++++++++++ | 76% ~04m 13s
|+++++++++++++++++++++++++++++++++++++++ | 77% ~04m 02s
|+++++++++++++++++++++++++++++++++++++++ | 78% ~03m 52s
|++++++++++++++++++++++++++++++++++++++++ | 79% ~03m 41s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~03m 30s
|+++++++++++++++++++++++++++++++++++++++++ | 81% ~03m 19s
|+++++++++++++++++++++++++++++++++++++++++ | 82% ~03m 08s
|++++++++++++++++++++++++++++++++++++++++++ | 83% ~02m 58s
|++++++++++++++++++++++++++++++++++++++++++ | 84% ~02m 47s
|+++++++++++++++++++++++++++++++++++++++++++ | 85% ~02m 41s
|+++++++++++++++++++++++++++++++++++++++++++ | 86% ~02m 29s
|++++++++++++++++++++++++++++++++++++++++++++ | 87% ~02m 18s
|++++++++++++++++++++++++++++++++++++++++++++ | 88% ~02m 08s
|+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~01m 57s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~01m 46s
|++++++++++++++++++++++++++++++++++++++++++++++ | 91% ~01m 35s
|++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~01m 25s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 93% ~01m 14s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~01m 03s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 95% ~53s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~42s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~32s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~21s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 99% ~11s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=17m 28s
[1] "Processing cluster 10 with a total of 355 cells"
[1] FALSE
| | 0 % ~calculating
|+ | 1 % ~13m 56s
|+ | 2 % ~14m 45s
|++ | 3 % ~14m 49s
|++ | 4 % ~14m 34s
|+++ | 5 % ~14m 25s
|+++ | 6 % ~14m 20s
|++++ | 7 % ~14m 21s
|++++ | 8 % ~14m 26s
|+++++ | 9 % ~14m 18s
|+++++ | 10% ~14m 10s
|++++++ | 11% ~14m 03s
|++++++ | 12% ~13m 59s
|+++++++ | 13% ~13m 58s
|+++++++ | 14% ~13m 50s
|++++++++ | 15% ~13m 41s
|++++++++ | 16% ~13m 32s
|+++++++++ | 17% ~13m 26s
|+++++++++ | 18% ~13m 22s
|++++++++++ | 19% ~13m 13s
|++++++++++ | 20% ~13m 03s
|+++++++++++ | 21% ~12m 50s
|+++++++++++ | 22% ~12m 38s
|++++++++++++ | 23% ~13m 38s
|++++++++++++ | 24% ~13m 21s
|+++++++++++++ | 25% ~13m 04s
|+++++++++++++ | 26% ~12m 53s
|++++++++++++++ | 27% ~12m 39s
|++++++++++++++ | 28% ~12m 26s
|+++++++++++++++ | 29% ~12m 13s
|+++++++++++++++ | 30% ~12m 01s
|++++++++++++++++ | 31% ~11m 49s
|++++++++++++++++ | 32% ~11m 38s
|+++++++++++++++++ | 33% ~11m 27s
|+++++++++++++++++ | 34% ~11m 16s
|++++++++++++++++++ | 35% ~11m 07s
|++++++++++++++++++ | 36% ~10m 57s
|+++++++++++++++++++ | 37% ~10m 46s
|+++++++++++++++++++ | 38% ~10m 35s
|++++++++++++++++++++ | 39% ~10m 24s
|++++++++++++++++++++ | 40% ~10m 16s
|+++++++++++++++++++++ | 41% ~10m 05s
|+++++++++++++++++++++ | 42% ~09m 54s
|++++++++++++++++++++++ | 43% ~09m 43s
|++++++++++++++++++++++ | 44% ~09m 31s
|+++++++++++++++++++++++ | 45% ~09m 21s
|+++++++++++++++++++++++ | 46% ~09m 34s
|++++++++++++++++++++++++ | 47% ~09m 21s
|++++++++++++++++++++++++ | 48% ~09m 09s
|+++++++++++++++++++++++++ | 49% ~08m 58s
|+++++++++++++++++++++++++ | 50% ~08m 46s
|++++++++++++++++++++++++++ | 51% ~08m 34s
|++++++++++++++++++++++++++ | 52% ~08m 24s
|+++++++++++++++++++++++++++ | 53% ~08m 13s
|+++++++++++++++++++++++++++ | 54% ~08m 02s
|++++++++++++++++++++++++++++ | 55% ~07m 51s
|++++++++++++++++++++++++++++ | 56% ~07m 40s
|+++++++++++++++++++++++++++++ | 57% ~07m 29s
|+++++++++++++++++++++++++++++ | 58% ~07m 19s
|++++++++++++++++++++++++++++++ | 59% ~07m 08s
|++++++++++++++++++++++++++++++ | 60% ~06m 58s
|+++++++++++++++++++++++++++++++ | 61% ~06m 47s
|+++++++++++++++++++++++++++++++ | 62% ~06m 37s
|++++++++++++++++++++++++++++++++ | 63% ~06m 26s
|++++++++++++++++++++++++++++++++ | 64% ~06m 16s
|+++++++++++++++++++++++++++++++++ | 65% ~06m 05s
|+++++++++++++++++++++++++++++++++ | 66% ~05m 54s
|++++++++++++++++++++++++++++++++++ | 67% ~05m 43s
|++++++++++++++++++++++++++++++++++ | 68% ~05m 42s
|+++++++++++++++++++++++++++++++++++ | 69% ~05m 30s
|+++++++++++++++++++++++++++++++++++ | 70% ~05m 19s
|++++++++++++++++++++++++++++++++++++ | 71% ~05m 08s
|++++++++++++++++++++++++++++++++++++ | 72% ~04m 57s
|+++++++++++++++++++++++++++++++++++++ | 73% ~04m 46s
|+++++++++++++++++++++++++++++++++++++ | 74% ~04m 35s
|++++++++++++++++++++++++++++++++++++++ | 75% ~04m 24s
|++++++++++++++++++++++++++++++++++++++ | 76% ~04m 13s
|+++++++++++++++++++++++++++++++++++++++ | 77% ~04m 02s
|+++++++++++++++++++++++++++++++++++++++ | 78% ~03m 52s
|++++++++++++++++++++++++++++++++++++++++ | 79% ~03m 41s
|++++++++++++++++++++++++++++++++++++++++ | 80% ~03m 31s
|+++++++++++++++++++++++++++++++++++++++++ | 81% ~03m 20s
|+++++++++++++++++++++++++++++++++++++++++ | 82% ~03m 09s
|++++++++++++++++++++++++++++++++++++++++++ | 83% ~02m 59s
|++++++++++++++++++++++++++++++++++++++++++ | 84% ~02m 48s
|+++++++++++++++++++++++++++++++++++++++++++ | 85% ~02m 38s
|+++++++++++++++++++++++++++++++++++++++++++ | 86% ~02m 27s
|++++++++++++++++++++++++++++++++++++++++++++ | 87% ~02m 17s
|++++++++++++++++++++++++++++++++++++++++++++ | 88% ~02m 06s
|+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~01m 56s
|+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~01m 45s
|++++++++++++++++++++++++++++++++++++++++++++++ | 91% ~01m 36s
|++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~01m 26s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 93% ~01m 15s
|+++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~01m 04s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 95% ~53s
|++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~43s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~32s
|+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~21s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 99% ~11s
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=17m 35s
[1] "Processing cluster 11 with a total of 147 cells"
[1] FALSE
| | 0 % ~calculating
|+ | 1 % ~18m 45s
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[1] "Processing cluster 12 with a total of 63 cells"
[1] FALSE
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|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=19m 46s
NULL
[1] "0"
Processed 17014 groups out of 20716. 82% done. Time elapsed: 3s. ETA: 0s.
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[1] "1"
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[1] "12"
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Processed 25710 groups out of 25710. 100% done. Time elapsed: 6s. ETA: 0s.write.table(exprdfTT, "libintegration/de/expr_test_t.tsv", sep="\t", row.names=F, quote = F)
writexl::write_xlsx(exprdfTT, "libintegration/de/expr_test_t.xlsx")
print(head(exprdfTT))NANext we calculate a module score for a set of interferon-stimulating genes, which are analysed in the following plots.
DefaultAssay(obj.integrated)= "RNA"
isgGenes = unique(c("MT2A", "ISG15", "LY6E", "IFIT1", "IFIT2", "IFIT3", "IFITM1", "IFITM3", "IFI44L", "IFI6", "MX1", "IFI27", "IFI44L", "RSAD2", "SIGLEC1", "IFIT1"))
obj.integrated = AddModuleScore(obj.integrated, features = isgGenes, name = "isg_score_small")
Let’s briefly visualize the gene signature:
FeaturePlot(obj.integrated, "isg_score_small1")
obj.integrated$cond_tp = paste(obj.integrated$condition, obj.integrated$tp, sep=" ")The splitFeaturePlot is a separate FeaturePlot for each panel defined by the split.by clause. All panels have the same limits and are thus easily comparable.
p=splitFeaturePlot(obj.integrated, "isg_score_small1", split.by="cond_tp", title="FeaturePlot", ncol=4)[1] "limits -1" "limits 1"
[1] "7"
[1] 1Scale for colour is already present.
Adding another scale for colour, which will replace the existing scale.[1] 2Scale for colour is already present.
Adding another scale for colour, which will replace the existing scale.[1] 3Scale for colour is already present.
Adding another scale for colour, which will replace the existing scale.[1] 4Scale for colour is already present.
Adding another scale for colour, which will replace the existing scale.[1] 5Scale for colour is already present.
Adding another scale for colour, which will replace the existing scale.[1] 6Scale for colour is already present.
Adding another scale for colour, which will replace the existing scale.[1] 7Scale for colour is already present.
Adding another scale for colour, which will replace the existing scale.[1] "ncol 4"save_plot(p, "split_featureplot_isg", 30, 15)[1] "split_featureplot_isg 30 15"
[1] "Saving to file split_featureplot_isg.png"
[1] "Saving to file split_featureplot_isg.pdf"
[1] "Saving to file split_featureplot_isg.svg"
[1] "list case"
[1] "Saving to file split_featureplot_isg.1.data"
[1] "Saving to file split_featureplot_isg.2.data"
[1] "multi list case"
[1] "Saving to file split_featureplot_isg.2.1.data data.frame"
[1] "Saving to file split_featureplot_isg.2.2.data data.frame"
[1] "Saving to file split_featureplot_isg.2.3.data data.frame"
[1] "Saving to file split_featureplot_isg.2.4.data data.frame"
[1] "Saving to file split_featureplot_isg.2.5.data data.frame"
[1] "Saving to file split_featureplot_isg.2.6.data data.frame"
[1] "Saving to file split_featureplot_isg.2.7.data data.frame"
The comparativeVioBoxPlot combines a BoxPlot with a Violin Plot and performs statistical tests within each group (between the subsets defined by split.by).
p=comparativeVioBoxPlot(obj.integrated, "isg_score_small1", group.by="condition", split.by="tp", yStepIncrease = 1, verbose=FALSE)[1] "SYMPTOMATIC Ctrl 0"
[1] "Removing group SYMPTOMATIC"
[1] "ASYMPTOMATIC Ctrl 0"
[1] "Removing group ASYMPTOMATIC"
[1] "CONTROL TP 1 0"
[1] "CONTROL TP 2 0"
[1] "CONTROL TP 3 0"
[1] "Removing group CONTROL"
[1] "Existing Cells 14672"
[1] "New Cells 0"
[1] "SYMPTOMATIC 3"
[1] "ASYMPTOMATIC 3"
[1] "CONTROL 1"
[1] "TP 1 1.10543539557871"
[1] "TP 2 1.04267403662383"
[1] "TP 3 0.952347915061169"
[1] "Ctrl NA"
[1] "TP 1 1.03600907843311"
[1] "TP 2 1.10322999910783"
[1] "TP 3 1.00194124153661"
[1] "Ctrl NA"
[1] "TP 1 NA"
[1] "TP 2 NA"
[1] "TP 3 NA"
[1] "Ctrl 1.01263554921205"
[1] "Creating Plot"save_plot(p, "comparative_violin_isg", 12, 8)[1] "comparative_violin_isg 12 8"
[1] "Saving to file comparative_violin_isg.png"
[1] "Saving to file comparative_violin_isg.pdf"
[1] "Saving to file comparative_violin_isg.svg"
[1] "Saving to file comparative_violin_isg.data"
The plot is also customizable in terms of colors.
dsrCols = list("Ctrl"="steelblue4", "TP 1"="darkred", "TP 2"="chocolate2", "TP 3"="darkseagreen3")
p=comparativeVioBoxPlot(obj.integrated, "isg_score_small1", group.by="condition", split.by="tp", yStepIncrease = 1, verbose=FALSE, dsrCols = dsrCols, boxplot_grey = "ivory4")[1] "SYMPTOMATIC Ctrl 0"
[1] "Removing group SYMPTOMATIC"
[1] "ASYMPTOMATIC Ctrl 0"
[1] "Removing group ASYMPTOMATIC"
[1] "CONTROL TP 1 0"
[1] "CONTROL TP 2 0"
[1] "CONTROL TP 3 0"
[1] "Removing group CONTROL"
[1] "Existing Cells 14672"
[1] "New Cells 0"
[1] "SYMPTOMATIC 3"
[1] "ASYMPTOMATIC 3"
[1] "CONTROL 1"
[1] "TP 1 1.10543539557871"
[1] "TP 2 1.04267403662383"
[1] "TP 3 0.952347915061169"
[1] "Ctrl NA"
[1] "TP 1 1.03600907843311"
[1] "TP 2 1.10322999910783"
[1] "TP 3 1.00194124153661"
[1] "Ctrl NA"
[1] "TP 1 NA"
[1] "TP 2 NA"
[1] "TP 3 NA"
[1] "Ctrl 1.01263554921205"
[1] "Creating Plot"
[1] "TP 1" "TP 2" "TP 3" "Ctrl"save_plot(p, "comparative_violin_isg_custom", 12, 8)[1] "comparative_violin_isg_custom 12 8"
[1] "Saving to file comparative_violin_isg_custom.png"
[1] "Saving to file comparative_violin_isg_custom.pdf"
[1] "Saving to file comparative_violin_isg_custom.svg"
[1] "Saving to file comparative_violin_isg_custom.data"
unique(obj.integrated$condition)[1] SYMPTOMATIC ASYMPTOMATIC CONTROL
Levels: CONTROL ASYMPTOMATIC SYMPTOMATICAnd also works when only one major group is available.
dsrCols = list("Ctrl"="steelblue4", "TP 1"="darkred", "TP 2"="chocolate2", "TP 3"="darkseagreen3")
comparativeVioBoxPlot(subset(obj.integrated, condition=="ASYMPTOMATIC"), "isg_score_small1", group.by="condition", split.by="tp", yStepIncrease = 1, verbose=FALSE, dsrCols = dsrCols, boxplot_grey = "ivory4")[1] "Existing Cells 2284"
[1] "New Cells 2284"
[1] "ASYMPTOMATIC 3"
[1] "TP 1 1.03600907843311"
[1] "TP 2 1.10322999910783"
[1] "TP 3 1.00194124153661"
[1] "Creating Plot"
[1] "TP 1" "TP 2" "TP 3"
obj.integrated = Seurat::ScaleData(obj.integrated)Centering and scaling data matrix
|
| | 0%
|
|============================================ | 33%
|
|======================================================================================= | 67%
|
|===================================================================================================================================| 100%
Warning: Different features in new layer data than already exists for scale.dataobj.integratedAn object of class Seurat
39601 features across 14672 samples within 2 assays
Active assay: RNA (36601 features, 3000 variable features)
3 layers present: scale.data, data, counts
1 other assay present: integratedgex
2 dimensional reductions calculated: igpca, umapunique(obj.integrated$idents)
[1] 7 10 0 9 2 3 1 4 5 8 11 6 12
Levels: 0 1 2 3 4 5 6 7 8 9 10 11 12Single heatmap plot of the isgGenes per cluster. Scaled globally from ScaleData.
plotGOIs = list("1"=list("clusters"=c("0"), "genes"=isgGenes))
p=enhancedHeatMap(obj.integrated, plotGOIs, group.by="idents", include_all_clusters = TRUE, title="Heatmap of ISG Genes", scale.by="GLOBAL")[1] "Scaling data GLOBAL"
[1] "Fetching global scaled average expression"As of Seurat v5, we recommend using AggregateExpression to perform pseudo-bulk analysis.First group.by variable `idents` starts with a number, appending `g` to ensure valid variable names[1] "combined_lists"
[1] "0"
[1] "MT2A" "ISG15" "LY6E" "IFIT1" "IFIT2" "IFIT3" "IFITM1" "IFITM3" "IFI44L" "IFI6" "MX1" "IFI27"
[13] "RSAD2" "SIGLEC1"
[1] "Clusters Missing"
character(0)
[1] "Genes Missing"
character(0)
[1] "Adding missing clusters"
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"save_plot(p, "heatmap_isg_genes", 12, 8, save.data = FALSE)[1] "heatmap_isg_genes 12 8"
[1] "Saving to file heatmap_isg_genes.png"
[1] "Saving to file heatmap_isg_genes.pdf"
[1] "Saving to file heatmap_isg_genes.svg"
Single heatmap plot of the isgGenes per cluster. Scaled by all shown values in the heatmap.
plotGOIs = list("1"=list("clusters"=c("0"), "genes"=isgGenes))
p=enhancedHeatMap(obj.integrated, plotGOIs, group.by="idents", include_all_clusters = TRUE, title="Heatmap of ISG Genes", scale.by="ALL")[1] "Scaling data ALL"
[1] "Fetching average expression"
[1] "combined_lists"
[1] "0"
[1] "MT2A" "ISG15" "LY6E" "IFIT1" "IFIT2" "IFIT3" "IFITM1" "IFITM3" "IFI44L" "IFI6" "MX1" "IFI27"
[13] "RSAD2" "SIGLEC1"
[1] "Clusters Missing"
character(0)
[1] "Genes Missing"
character(0)
[1] "Adding missing clusters"
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"save_plot(p, "heatmap_isg_genes_ALL", 12, 8, save.data = FALSE)[1] "heatmap_isg_genes_ALL 12 8"
[1] "Saving to file heatmap_isg_genes_ALL.png"
[1] "Saving to file heatmap_isg_genes_ALL.pdf"
[1] "Saving to file heatmap_isg_genes_ALL.svg"
Split heatmap plot, grouping the cells per cluster and split the results per condition. Scaled globally from ScaleData
p=makeComplexExprHeatmapSplit(obj.integrated, plotGOIs, group.by="idents", split.by="condition", include_all_clusters = TRUE, title="Heatmap of ISG Genes", scale.by="GLOBAL")Scaling data GLOBAL[1] "0"
[1] "MT2A" "ISG15" "LY6E" "IFIT1" "IFIT2" "IFIT3" "IFITM1" "IFITM3" "IFI44L" "IFI6" "MX1" "IFI27"
[13] "RSAD2" "SIGLEC1"
[1] "Fetching global scaled average expression"
[1] "Clusters Missing"
character(0)
[1] "Genes Missing"
character(0)
[1] "Adding missing clusters"
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"
[1] "Removing clusters because they're not represented in subset"
character(0)
[1] "Fetching global scaled average expression"
[1] "Clusters Missing"
character(0)
[1] "Genes Missing"
character(0)
[1] "Adding missing clusters"
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"
[1] "Removing clusters because they're not represented in subset"
character(0)
[1] "Fetching global scaled average expression"
[1] "Clusters Missing"
character(0)
[1] "Genes Missing"
character(0)
[1] "Adding missing clusters"
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"
[1] "Removing clusters because they're not represented in subset"
character(0)save_plot(p, "heatmap_split_isg_genes", 30, 10, save.data = FALSE)[1] "heatmap_split_isg_genes 30 10"
[1] "Saving to file heatmap_split_isg_genes.png"
[1] "Saving to file heatmap_split_isg_genes.pdf"
[1] "Saving to file heatmap_split_isg_genes.svg"
Split heatmap plot, grouping the cells per cluster and split the results per condition. Scaled by all shown values (over all 3 groups).
p=makeComplexExprHeatmapSplit(obj.integrated, plotGOIs, group.by="idents", split.by="condition", include_all_clusters = TRUE, title="Heatmap of ISG Genes", scale.by="ALL")Scaling data ALL[1] "0"
[1] "MT2A" "ISG15" "LY6E" "IFIT1" "IFIT2" "IFIT3" "IFITM1" "IFITM3" "IFI44L" "IFI6" "MX1" "IFI27"
[13] "RSAD2" "SIGLEC1"
[1] "Fetching average expression"
[1] "Clusters Missing"
character(0)
[1] "Genes Missing"
character(0)
[1] "Adding missing clusters"
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"
[1] "Removing clusters because they're not represented in subset"
character(0)
[1] "Fetching average expression"
[1] "Clusters Missing"
character(0)
[1] "Genes Missing"
character(0)
[1] "Adding missing clusters"
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"
[1] "Removing clusters because they're not represented in subset"
character(0)
[1] "Fetching average expression"
[1] "Clusters Missing"
character(0)
[1] "Genes Missing"
character(0)
[1] "Adding missing clusters"
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"
[1] "Removing clusters because they're not represented in subset"
character(0)
0 1 2 3 4 5 6 7 8 9
MT2A 1.5845688 1.8084085 1.36665425 -0.4836524 0.9755133 -0.63852114 1.09986631 0.96663164 1.65113403 2.14224193
ISG15 0.5109032 0.5643997 0.90042626 -0.1536394 1.0155712 -0.33832124 -0.04326024 0.46713720 1.03512290 0.92915313
LY6E 1.3854609 1.7319768 1.11636673 0.6241664 1.2236696 0.47727165 0.56719537 0.90444871 1.65060207 1.66519899
IFIT1 -0.8086132 -0.9536971 -0.90748525 -1.0373155 -0.8624689 -1.02847551 -1.02908449 -0.78882439 -0.62260077 -0.98522655
IFIT2 -0.1854094 -0.5714232 -0.82323144 -0.9402467 -0.7371689 -0.87821695 -0.92047507 -0.26428474 0.10591485 -0.64654757
IFIT3 -0.5693170 -0.6635954 -0.75608946 -0.9448991 -0.6462903 -0.87336952 -1.03199714 -0.46239034 -0.14562264 -0.66523492
IFITM1 0.7323646 1.2007204 -0.78706422 -0.6392194 -0.3902723 -0.55690191 0.21810815 -0.02411148 0.97696485 0.54195463
IFITM3 -0.7213139 0.6549316 2.07982926 -0.9347063 1.9565590 -0.89435796 -0.80573899 -0.06969285 0.08296923 0.03943282
IFI44L -0.3344148 -0.1218814 0.13580177 -0.4971084 0.4002205 -0.01625344 -0.50811131 0.74020042 -0.11155180 -0.50166869
IFI6 0.8394728 0.4877095 1.25991366 -0.4905150 1.5876664 -0.41351952 -0.43769952 0.59090766 1.15005898 0.73580905
MX1 -0.2414816 -0.2934371 0.09251587 -0.2151757 0.1473745 -0.28915086 -0.39160420 0.10704853 -0.04848485 -0.20653664
IFI27 -0.6349346 -0.7203640 2.34001886 -0.9218418 2.3310544 -0.93278593 -0.74086685 0.22680317 -0.39778282 -0.40412581
RSAD2 -0.8420343 -0.9081708 -0.81228209 -1.0107895 -0.8579667 -0.95402759 -0.93710340 -0.84303084 -0.82035241 -0.96805524
SIGLEC1 -1.0541593 -1.0431226 -0.41839710 -1.0571725 -0.5796417 -1.06350261 -1.04570737 -0.98796868 -1.05291904 -1.06210673
10 11 12
MT2A 2.42409792 0.8733983 -0.72732371
ISG15 2.02642430 0.2870428 -0.26716712
LY6E 1.85316370 0.5992180 -0.01362893
IFIT1 -0.57416527 -1.0057402 -1.01609925
IFIT2 -0.36312197 -0.9780055 0.23402695
IFIT3 -0.32000791 -1.0266159 -1.06350261
IFITM1 0.07291236 -0.7660342 -1.06350261
IFITM3 3.43265714 1.2078578 -0.96575139
IFI44L 0.36960827 -0.4795612 0.27475190
IFI6 1.48623955 0.2079794 -0.91077919
MX1 0.27003535 -0.2103249 0.80432243
IFI27 3.31214237 0.4822807 -0.14494702
RSAD2 -0.58751204 -0.9632222 -0.98912680
SIGLEC1 -0.48650793 -0.8690077 -1.06350261
0 1 2 3 4 5 6 7 8 9 10
MT2A 1.8614703 2.00892101 1.53581275 -0.4645992 1.5821191 -0.9117048 1.3885682 1.1146909 2.1045727 1.81406896 2.07410176
ISG15 0.1886784 0.86827551 1.53599469 0.2990572 2.5787521 -0.2134696 0.7453982 0.4374205 0.3239920 1.01277795 2.33129004
LY6E 1.0555144 1.94812167 1.85267300 1.0217989 1.9588005 0.8036616 1.2887660 1.2470897 1.4400565 1.55736863 2.27561076
IFIT1 -0.9887642 -0.93791462 -0.77776078 -0.8902263 -0.1984836 -1.0302541 -0.8984933 -1.0635026 -1.0635026 -0.84497464 -0.44084190
IFIT2 -0.8754563 -0.77221477 -0.87654149 -0.8435737 -1.0635026 -0.9454079 -0.8643748 -0.8324069 -0.8854163 -0.94090572 -0.05611819
IFIT3 -0.8826437 -0.62336882 -0.58649306 -0.4493482 -0.2136064 -0.8172241 -0.7608395 -0.3280345 -0.7182709 -0.77410971 0.41882049
IFITM1 1.1178239 1.88714667 -0.70102139 -0.5421694 0.3552758 -0.5416764 1.0170901 0.3834616 1.2450503 1.05391396 0.22654900
IFITM3 -0.8771747 0.17122520 2.43566062 -1.0297723 1.8064532 -1.0542393 -0.8602911 -0.2429431 -0.6215056 -0.44854405 3.52709709
IFI44L -0.5427304 0.40463370 1.11557429 0.5735042 0.0498242 0.7729706 0.5529990 1.4626356 -0.7510439 0.08576848 1.17815320
IFI6 0.1977117 0.79383377 2.00968206 -0.2216380 2.0937016 -0.1335730 0.4039919 -0.7244948 0.2223109 0.82102853 1.87910235
MX1 -0.3638781 0.02902876 0.58787461 0.3909977 0.5363942 0.1725159 0.3097811 -0.4322609 -0.6331146 0.19651547 0.62504708
IFI27 -0.9460260 -0.97732423 2.30758416 -0.9429888 0.5488519 -1.0256076 -0.9942348 -1.0635026 -0.9755238 -0.78430621 1.95671463
RSAD2 -0.9164450 -0.81285969 -0.56430965 -0.8849040 0.1046023 -0.8710045 -0.8180874 -0.4365238 -1.0635026 -0.96944500 -0.44643545
SIGLEC1 -1.0635026 -1.04130699 0.08631363 -1.0541222 -0.5734387 -1.0635026 -1.0485982 -1.0635026 -1.0635026 -1.06350261 0.01382651
11 12
MT2A 0.9659462 -0.5441908
ISG15 1.6632214 0.2492478
LY6E 1.5295691 0.7565650
IFIT1 -0.9753451 -1.0635026
IFIT2 -0.9524002 -0.3787472
IFIT3 -0.8124985 -0.9986501
IFITM1 -0.1749094 -1.0635026
IFITM3 2.0511254 -1.0635026
IFI44L 0.6618183 1.7043375
IFI6 1.2759674 -1.0132508
MX1 0.6327437 1.7688781
IFI27 1.4831750 0.7645494
RSAD2 -0.8364418 -1.0132508
SIGLEC1 -0.6794524 -1.0635026
0 1 2 3 4 5 6 7 8 9
MT2A 1.5108951 1.61741029 1.2298400 -0.63840257 1.202202210 -0.69112023 0.7566706 0.832349139 1.6379930 2.42850945
ISG15 0.1329293 1.04748907 1.1144857 0.14841891 0.080432922 0.02169994 0.1218485 0.126749691 0.3549472 0.76842668
LY6E 1.0072536 1.70910494 1.1025603 0.93739996 1.078855142 0.73169644 0.8783477 0.725479135 1.3206926 1.50853216
IFIT1 -1.0108586 -0.93387566 -0.6320397 -0.92093516 -0.938770362 -0.97009615 -0.9505750 -0.953092072 -0.8703646 -1.06350261
IFIT2 -0.9123354 -0.82727617 -0.4666016 -0.88208799 -0.659879351 -0.92027595 -0.9133254 -0.782747489 -0.6852599 -0.83894227
IFIT3 -1.0066333 -0.69281211 -0.4012328 -0.54414539 -0.895852756 -0.55120691 -0.8467210 -0.612855502 -1.0635026 -0.65504122
IFITM1 0.3150984 1.19233558 -0.8389683 -0.54514250 -0.268982509 -0.39819563 0.4476732 -0.042084909 0.7471261 0.09560046
IFITM3 -0.8208576 0.70781554 1.8142186 -0.98981414 1.441393048 -0.73701433 -0.6323257 0.230063836 -0.5208408 0.21192484
IFI44L -0.6888189 0.18092856 0.3546244 -0.02293651 -0.027100334 0.54551783 -0.3281793 0.262842045 -0.7299304 -0.90916758
IFI6 0.1062461 0.70589637 1.3221828 -0.43837348 0.636964469 -0.30321511 0.2883984 0.005824654 0.2183197 0.36636162
MX1 -0.4681574 0.08599029 0.2390350 0.24876247 -0.004190139 0.04024217 -0.3514503 -0.051590033 -0.3575849 -0.38001454
IFI27 -1.0386969 -0.93932443 -0.9632922 -1.02089858 -0.877005228 -1.06350261 -0.9107631 -1.063502606 -1.0635026 -1.06350261
RSAD2 -0.9928528 -0.79268248 -0.6530543 -0.99527801 -0.770444656 -0.86548759 -0.8304848 -0.902628747 -0.8671230 -0.88307613
SIGLEC1 -1.0635026 -1.05548368 -0.4481013 -1.06350261 -0.865638474 -1.06350261 -1.0635026 -1.063502606 -1.0635026 -1.06350261
10 11 12
MT2A 2.3439162 0.76128616 -0.7639469462
ISG15 1.9676307 1.28790966 0.6841275357
LY6E 2.3029106 1.18316630 -0.0968549527
IFIT1 -0.1057604 -0.46457037 -1.0144851896
IFIT2 0.1193812 -0.72205546 0.0007496365
IFIT3 0.5272748 -0.43104020 -0.8668990384
IFITM1 0.1359582 -0.55082229 -1.0459140554
IFITM3 3.6472985 1.66469560 -0.7702926673
IFI44L 0.4349847 0.06633269 0.7700575648
IFI6 1.4822805 1.14977638 -0.8972987694
MX1 0.4428175 0.48411737 1.0008757031
IFI27 -0.3743213 -1.03552483 -1.0001578666
RSAD2 -0.3673840 -0.73075197 -0.9002062626
SIGLEC1 -0.9044765 -0.58100446 -1.0635026055save_plot(p, "heatmap_split_isg_genes_ALL", 30, 10, save.data = FALSE)[1] "heatmap_split_isg_genes_ALL 30 10"
[1] "Saving to file heatmap_split_isg_genes_ALL.png"
[1] "Saving to file heatmap_split_isg_genes_ALL.pdf"
[1] "Saving to file heatmap_split_isg_genes_ALL.svg"
Split heatmap plot, grouping the cells per cluster and split the results per condition. Scaled per group/heatmap.
p=makeComplexExprHeatmapSplit(obj.integrated, plotGOIs, group.by="idents", split.by="condition", include_all_clusters = TRUE, title="Heatmap of ISG Genes", scale.by="GROUP")Scaling data GROUP[1] "0"
[1] "MT2A" "ISG15" "LY6E" "IFIT1" "IFIT2" "IFIT3" "IFITM1" "IFITM3" "IFI44L" "IFI6" "MX1" "IFI27"
[13] "RSAD2" "SIGLEC1"
[1] "Fetching average expression"
[1] "Clusters Missing"
character(0)
[1] "Genes Missing"
character(0)
[1] "Adding missing clusters"
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"
[1] "Removing clusters because they're not represented in subset"
character(0)
[1] "Fetching average expression"
[1] "Clusters Missing"
character(0)
[1] "Genes Missing"
character(0)
[1] "Adding missing clusters"
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"
[1] "Removing clusters because they're not represented in subset"
character(0)
[1] "Fetching average expression"
[1] "Clusters Missing"
character(0)
[1] "Genes Missing"
character(0)
[1] "Adding missing clusters"
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"
[1] "Removing clusters because they're not represented in subset"
character(0)save_plot(p, "heatmap_split_isg_genes_GROUP", 30, 10, save.data = FALSE)[1] "heatmap_split_isg_genes_GROUP 30 10"
[1] "Saving to file heatmap_split_isg_genes_GROUP.png"
[1] "Saving to file heatmap_split_isg_genes_GROUP.pdf"
[1] "Saving to file heatmap_split_isg_genes_GROUP.svg"
This prepares the layout for the enhancedDotPlot. Per panel one entry in the plot elems with selected cells and a label is required.
cells.control = cellIDForClusters(obj.integrated, "condition", c("CONTROL"))
cells.symptomatic = cellIDForClusters(obj.integrated, "condition", c("SYMPTOMATIC"))
cells.asymptomatic = cellIDForClusters(obj.integrated, "condition", c("ASYMPTOMATIC"))
plotElems = list()
plotElems[["Control"]] = list(cells=intersect(cells.control, cells.control), label="Control")
plotElems[["Symptomatic"]] = list(cells=intersect(cells.symptomatic,cells.symptomatic), label="Symptomatic")
plotElems[["Asymptomatic"]] = list(cells=intersect(cells.asymptomatic,cells.asymptomatic), label="Asymptomatic")
enhancedDotPlot of isg genes, scaled per all shown values.
p=enhancedDotPlot(obj.integrated, plotElems, featureGenes = isgGenes, group.by="idents", title="DotPlot of ISG Genes", scale.by="ALL", rotate.x = T)[1] "SCALING BY ALL"
[1] "Final plot checks"
[1] "Preparing Legend"
[1] "Preparing plot"save_plot(p, "edotplot_split_isg_genes_ALL", 30, 10, save.data = FALSE)[1] "edotplot_split_isg_genes_ALL 30 10"
[1] "Saving to file edotplot_split_isg_genes_ALL.png"
[1] "Saving to file edotplot_split_isg_genes_ALL.pdf"
[1] "Saving to file edotplot_split_isg_genes_ALL.svg"
enhancedDotPlot of isg genes, scaled globally (from ScaleData).
p=enhancedDotPlot(obj.integrated, plotElems, featureGenes = isgGenes, group.by="idents", title="DotPlot of ISG Genes", scale.by="GLOBAL", rotate.x = T)[1] "SCALING BY GLOBAL"
[1] "Final plot checks"
[1] "Preparing Legend"
[1] "Preparing plot"save_plot(p, "edotplot_split_isg_genes_GLOBAL", 30, 10, save.data = FALSE)[1] "edotplot_split_isg_genes_GLOBAL 30 10"
[1] "Saving to file edotplot_split_isg_genes_GLOBAL.png"
[1] "Saving to file edotplot_split_isg_genes_GLOBAL.pdf"
[1] "Saving to file edotplot_split_isg_genes_GLOBAL.svg"
enhancedDotPlot of isg genes, scaled per shown group.
p=enhancedDotPlot(obj.integrated, plotElems, featureGenes = isgGenes, group.by="idents", title="DotPlot of ISG Genes", scale.by="GROUP",rotate.x = T)[1] "SCALING BY GROUP"
[1] "Final plot checks"
[1] "Preparing Legend"
[1] "Preparing plot"save_plot(p, "edotplot_split_isg_genes_GROUP", 30, 10, save.data = FALSE)[1] "edotplot_split_isg_genes_GROUP 30 10"
[1] "Saving to file edotplot_split_isg_genes_GROUP.png"
[1] "Saving to file edotplot_split_isg_genes_GROUP.pdf"
[1] "Saving to file edotplot_split_isg_genes_GROUP.svg"
enhancedDotPlot of isg genes, scaled per feature (across all 3 shown groups).
p=enhancedDotPlot(obj.integrated, plotElems, featureGenes = isgGenes, group.by="idents", title="DotPlot of ISG Genes", scale.by="FEATURE", rotate.x=TRUE)[1] "SCALING BY FEATURE"
[1] "Final plot checks"
[1] "Preparing Legend"
[1] "Preparing plot"save_plot(p, "edotplot_split_isg_genes_FEATURE", 30, 10, save.data = FALSE)[1] "edotplot_split_isg_genes_FEATURE 30 10"
[1] "Saving to file edotplot_split_isg_genes_FEATURE.png"
[1] "Saving to file edotplot_split_isg_genes_FEATURE.pdf"
[1] "Saving to file edotplot_split_isg_genes_FEATURE.svg"
Compare symptomatic vs asymptomatic in all clusters (at TP1).
cells.tp1 = cellIDForClusters(obj.integrated, "tp", c("TP 1"))
comparison.sympt_asympt = compareCellsByCluster(obj.integrated, intersect(cells.symptomatic, cells.tp1), intersect(cells.asymptomatic, cells.tp1), "symptomatic", "asymptomatic", outfolder="./de", group.by="idents", heatmap.plot=TRUE)[1] "Processing cluster 0 with a total of 3426 cells"
[1] 866 123
[1] "./de"
[1] "Dir already exists!"
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|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=33s ./de/cluster_0.symptomatic_asymptomatic.tsv
./de/cluster_0.symptomatic_asymptomatic.xlsx
Centering and scaling data matrix
|
| | 0%
|
|===========================================================================================================================| 100%
Warning: Different features in new layer data than already exists for scale.dataScale for fill is already present.
Adding another scale for fill, which will replace the existing scale.[1] "./de/hplot_cluster_0.symptomatic_asymptomatic 7 12"
[1] "Saving to file ./de/hplot_cluster_0.symptomatic_asymptomatic.png"
[1] "Saving to file ./de/hplot_cluster_0.symptomatic_asymptomatic.pdf"
[1] "Saving to file ./de/hplot_cluster_0.symptomatic_asymptomatic.svg"
[1] "Saving to file ./de/hplot_cluster_0.symptomatic_asymptomatic.data"
[1] "Processing cluster 1 with a total of 2512 cells"
[1] 345 226
[1] "./de"
[1] "Dir already exists!"
| | 0 % ~calculating
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|
| | 0%
|
|===========================================================================================================================| 100%[1] "./de/hplot_cluster_1.symptomatic_asymptomatic 7 12"
[1] "Saving to file ./de/hplot_cluster_1.symptomatic_asymptomatic.png"
[1] "Saving to file ./de/hplot_cluster_1.symptomatic_asymptomatic.pdf"
[1] "Saving to file ./de/hplot_cluster_1.symptomatic_asymptomatic.svg"
[1] "Saving to file ./de/hplot_cluster_1.symptomatic_asymptomatic.data"
[1] "Processing cluster 2 with a total of 2276 cells"
[1] 247 102
[1] "./de"
[1] "Dir already exists!"
| | 0 % ~calculating
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|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=21s
|
| | 0%
|
|===========================================================================================================================| 100%[1] "./de/hplot_cluster_2.symptomatic_asymptomatic 7 12"
[1] "Saving to file ./de/hplot_cluster_2.symptomatic_asymptomatic.png"
[1] "Saving to file ./de/hplot_cluster_2.symptomatic_asymptomatic.pdf"
[1] "Saving to file ./de/hplot_cluster_2.symptomatic_asymptomatic.svg"
[1] "Saving to file ./de/hplot_cluster_2.symptomatic_asymptomatic.data"
[1] "Processing cluster 3 with a total of 1128 cells"
[1] 280 115
[1] "./de"
[1] "Dir already exists!"
| | 0 % ~calculating
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|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=15s
|
| | 0%
|
|===========================================================================================================================| 100%[1] "./de/hplot_cluster_3.symptomatic_asymptomatic 7 12"
[1] "Saving to file ./de/hplot_cluster_3.symptomatic_asymptomatic.png"
[1] "Saving to file ./de/hplot_cluster_3.symptomatic_asymptomatic.pdf"
[1] "Saving to file ./de/hplot_cluster_3.symptomatic_asymptomatic.svg"
[1] "Saving to file ./de/hplot_cluster_3.symptomatic_asymptomatic.data"
[1] "Processing cluster 4 with a total of 1038 cells"
[1] 289 28
[1] "./de"
[1] "Dir already exists!"
| | 0 % ~calculating
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|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=08s
|
| | 0%
|
|===========================================================================================================================| 100%[1] "./de/hplot_cluster_4.symptomatic_asymptomatic 7 12"
[1] "Saving to file ./de/hplot_cluster_4.symptomatic_asymptomatic.png"
[1] "Saving to file ./de/hplot_cluster_4.symptomatic_asymptomatic.pdf"
[1] "Saving to file ./de/hplot_cluster_4.symptomatic_asymptomatic.svg"
[1] "Saving to file ./de/hplot_cluster_4.symptomatic_asymptomatic.data"
[1] "Processing cluster 5 with a total of 940 cells"
[1] 171 68
[1] "./de"
[1] "Dir already exists!"
| | 0 % ~calculating
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|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=12s
|
| | 0%
|
|===========================================================================================================================| 100%[1] "./de/hplot_cluster_5.symptomatic_asymptomatic 7 7.2"
[1] "Saving to file ./de/hplot_cluster_5.symptomatic_asymptomatic.png"
[1] "Saving to file ./de/hplot_cluster_5.symptomatic_asymptomatic.pdf"
[1] "Saving to file ./de/hplot_cluster_5.symptomatic_asymptomatic.svg"
[1] "Saving to file ./de/hplot_cluster_5.symptomatic_asymptomatic.data"
[1] "Processing cluster 6 with a total of 912 cells"
[1] 104 130
[1] "./de"
[1] "Dir already exists!"
| | 0 % ~calculating
|+ | 1 % ~13s
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|===========================================================================================================================| 100%[1] "./de/hplot_cluster_6.symptomatic_asymptomatic 7 2.1"
[1] "Saving to file ./de/hplot_cluster_6.symptomatic_asymptomatic.png"
[1] "Saving to file ./de/hplot_cluster_6.symptomatic_asymptomatic.pdf"
[1] "Saving to file ./de/hplot_cluster_6.symptomatic_asymptomatic.svg"
[1] "Saving to file ./de/hplot_cluster_6.symptomatic_asymptomatic.data"
[1] "Processing cluster 7 with a total of 862 cells"
[1] 372 30
[1] "./de"
[1] "Dir already exists!"
| | 0 % ~calculating
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|===========================================================================================================================| 100%[1] "./de/hplot_cluster_7.symptomatic_asymptomatic 7 12"
[1] "Saving to file ./de/hplot_cluster_7.symptomatic_asymptomatic.png"
[1] "Saving to file ./de/hplot_cluster_7.symptomatic_asymptomatic.pdf"
[1] "Saving to file ./de/hplot_cluster_7.symptomatic_asymptomatic.svg"
[1] "Saving to file ./de/hplot_cluster_7.symptomatic_asymptomatic.data"
[1] "Processing cluster 8 with a total of 639 cells"
[1] 192 6
[1] "./de"
[1] "Dir already exists!"
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|===========================================================================================================================| 100%[1] "./de/hplot_cluster_8.symptomatic_asymptomatic 7 12"
[1] "Saving to file ./de/hplot_cluster_8.symptomatic_asymptomatic.png"
[1] "Saving to file ./de/hplot_cluster_8.symptomatic_asymptomatic.pdf"
[1] "Saving to file ./de/hplot_cluster_8.symptomatic_asymptomatic.svg"
[1] "Saving to file ./de/hplot_cluster_8.symptomatic_asymptomatic.data"
[1] "Processing cluster 9 with a total of 374 cells"
[1] 84 31
[1] "./de"
[1] "Dir already exists!"
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| | 0%
|
|===========================================================================================================================| 100%[1] "./de/hplot_cluster_9.symptomatic_asymptomatic 7 9"
[1] "Saving to file ./de/hplot_cluster_9.symptomatic_asymptomatic.png"
[1] "Saving to file ./de/hplot_cluster_9.symptomatic_asymptomatic.pdf"
[1] "Saving to file ./de/hplot_cluster_9.symptomatic_asymptomatic.svg"
[1] "Saving to file ./de/hplot_cluster_9.symptomatic_asymptomatic.data"
[1] "Processing cluster 10 with a total of 355 cells"
[1] 45 13
[1] "./de"
[1] "Dir already exists!"
| | 0 % ~calculating
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| | 0%
|
|===========================================================================================================================| 100%[1] "./de/hplot_cluster_10.symptomatic_asymptomatic 7 1.2"
[1] "Saving to file ./de/hplot_cluster_10.symptomatic_asymptomatic.png"
[1] "Saving to file ./de/hplot_cluster_10.symptomatic_asymptomatic.pdf"
[1] "Saving to file ./de/hplot_cluster_10.symptomatic_asymptomatic.svg"
[1] "Saving to file ./de/hplot_cluster_10.symptomatic_asymptomatic.data"
[1] "Processing cluster 11 with a total of 147 cells"
[1] 24 7
[1] "./de"
[1] "Dir already exists!"
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|===========================================================================================================================| 100%[1] "./de/hplot_cluster_11.symptomatic_asymptomatic 7 1.2"
[1] "Saving to file ./de/hplot_cluster_11.symptomatic_asymptomatic.png"
[1] "Saving to file ./de/hplot_cluster_11.symptomatic_asymptomatic.pdf"
[1] "Saving to file ./de/hplot_cluster_11.symptomatic_asymptomatic.svg"
[1] "Saving to file ./de/hplot_cluster_11.symptomatic_asymptomatic.data"
[1] "Processing cluster 12 with a total of 63 cells"
[1] 5 5
[1] "./de"
[1] "Dir already exists!"
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|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=05s Visualize the above comparison using volcano plots.
makeVolcanos(comparison.sympt_asympt, "Comparison Symptomatic vs. Asymptoamtic", "./de_volcanos/sympt_asympt_tp1", FCcutoff=0.25)[1] "./de_volcanos"
[1] "Dir already exists!"
[1] "0"
[1] 8342 22
[1] "./de_volcanos/sympt_asympt_tp1.0.png"
[1] "./de_volcanos/sympt_asympt_tp1.0.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.0.svg"
[1] "1"
[1] 7691 22
[1] "./de_volcanos/sympt_asympt_tp1.1.png"
[1] "./de_volcanos/sympt_asympt_tp1.1.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.1.svg"
[1] "2"
[1] 10113 22
[1] "./de_volcanos/sympt_asympt_tp1.2.png"
[1] "./de_volcanos/sympt_asympt_tp1.2.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.2.svg"
[1] "3"
[1] 9058 22
[1] "./de_volcanos/sympt_asympt_tp1.3.png"
[1] "./de_volcanos/sympt_asympt_tp1.3.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.3.svg"
[1] "4"
[1] 8598 22
[1] "./de_volcanos/sympt_asympt_tp1.4.png"
[1] "./de_volcanos/sympt_asympt_tp1.4.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.4.svg"
[1] "5"
[1] 9951 22
[1] "./de_volcanos/sympt_asympt_tp1.5.png"
[1] "./de_volcanos/sympt_asympt_tp1.5.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.5.svg"
[1] "6"
[1] 10412 22
[1] "./de_volcanos/sympt_asympt_tp1.6.png"
[1] "./de_volcanos/sympt_asympt_tp1.6.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.6.svg"
[1] "7"
[1] 8663 22
[1] "./de_volcanos/sympt_asympt_tp1.7.png"
[1] "./de_volcanos/sympt_asympt_tp1.7.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.7.svg"
[1] "8"
[1] 10028 22
[1] "./de_volcanos/sympt_asympt_tp1.8.png"
[1] "./de_volcanos/sympt_asympt_tp1.8.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.8.svg"
[1] "9"
[1] 11848 22
[1] "./de_volcanos/sympt_asympt_tp1.9.png"
[1] "./de_volcanos/sympt_asympt_tp1.9.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.9.svg"
[1] "10"
[1] 10031 22
[1] "./de_volcanos/sympt_asympt_tp1.10.png"
[1] "./de_volcanos/sympt_asympt_tp1.10.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.10.svg"
[1] "11"
[1] 9822 22
[1] "./de_volcanos/sympt_asympt_tp1.11.png"
[1] "./de_volcanos/sympt_asympt_tp1.11.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.11.svg"
[1] "12"
[1] 7990 22
[1] "./de_volcanos/sympt_asympt_tp1.12.png"
[1] "./de_volcanos/sympt_asympt_tp1.12.pdf"
[1] "./de_volcanos/sympt_asympt_tp1.12.svg"Perform enrichment analysis on the above DE comparison.
gseResults = performEnrichtmentAnalysis(obj.integrated, comparison.sympt_asympt, "human", "./gse_results.rds")[1] "Human Org DB"Loading required package: AnnotationDbi
Loading required package: stats4
Loading required package: BiocGenerics
Attaching package: ‘BiocGenerics’
The following object is masked from ‘package:SeuratObject’:
intersect
The following objects are masked from ‘package:stats’:
IQR, mad, sd, var, xtabs
The following objects are masked from ‘package:base’:
anyDuplicated, aperm, append, as.data.frame, basename, cbind, colnames, dirname, do.call, duplicated, eval, evalq,
Filter, Find, get, grep, grepl, intersect, is.unsorted, lapply, Map, mapply, match, mget, order, paste, pmax,
pmax.int, pmin, pmin.int, Position, rank, rbind, Reduce, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit, which.max, which.min
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with 'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Loading required package: IRanges
Loading required package: S4Vectors
Attaching package: ‘S4Vectors’
The following object is masked from ‘package:utils’:
findMatches
The following objects are masked from ‘package:base’:
expand.grid, I, unname
Attaching package: ‘IRanges’
The following object is masked from ‘package:sp’:
%over%
The following object is masked from ‘package:grDevices’:
windows[1] "enrichmentAnalysis.R"
[1] "Running for organism"
[1] "hsa"'select()' returned 1:many mapping between keys and columns
Warning: 36.15% of input gene IDs are fail to map...[1] "0"
[1] "Selecting Genes"'select()' returned 1:1 mapping between keys and columns
Warning: 3.51% of input gene IDs are fail to map...[1] "Unresolved gene symbols"
[1] "AC008764.7" "AC012615.2" "AC020656.1" "AC092069.1" "AC092445.1" "AP000704.1" "C15orf41" "C1orf109" "MT-CO3"
[10] "MT-CYB" [1] "Got geneRegVec"
[1] 275
[1] "Genes 275"
[1] 9172 7503 929 7057 1612 154881
[1] "THRAP3" "MAFB" "TSC22D2" "ACAP1" "ISG15" "CD48"
[1] "UpGenes 196"
[1] 9172 7503 929 7057 1612 154881
[1] "THRAP3" "MAFB" "TSC22D2" "ACAP1" "ISG15" "CD48"
[1] "downGenes 79"
[1] 9045 6158 6173 6155 10209 6230
[1] "CD300E" "LINC00299" "BIRC3" "FAM149B1" "NR4A1" "AOAH"
[1] "REACTOME"
[1] 9172 7503 929 7057 1612 154881
[1] 9172 7503 929 7057 1612 154881
[1] 9045 6158 6173 6155 10209 6230
[1] "KEGG"
[1] 9172 7503 929 7057 1612 154881
[1] 9172 7503 929 7057 1612 154881
[1] 9045 6158 6173 6155 10209 6230Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/pathway"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/pathway/hsa"...[1] "GO"
[1] 9172 7503 929 7057 1612 154881
[1] 9172 7503 929 7057 1612 154881
[1] 9045 6158 6173 6155 10209 6230
[1] "MKEGG"
[1] 9172 7503 929 7057 1612 154881
[1] 9172 7503 929 7057 1612 154881
[1] 9045 6158 6173 6155 10209 6230Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/module"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/module"...
--> No gene can be mapped....
--> Expected input gene ID: 4191,230,84076,5315,3417,6392
--> return NULL...[1] "1"
[1] "Selecting Genes"'select()' returned 1:1 mapping between keys and columns
Warning: 0.81% of input gene IDs are fail to map...[1] "Unresolved gene symbols"
[1] "GRASP"[1] "Got geneRegVec"
[1] 123
[1] "Genes 123"
[1] 7503 56937 9172 2219 3887 6280
[1] "CCL4L2" "SYTL3" "SYAP1" "CD8A" "MYOM2" "CD3E"
[1] "UpGenes 74"
[1] 7503 56937 9172 2219 3887 6280
[1] "CCL4L2" "SYTL3" "SYAP1" "CD8A" "MYOM2" "CD3E"
[1] "downGenes 49"
[1] 6135 5216 6207 6189 9045 6188
[1] "PLCG2" "PFN1" "RAB8B" "EVL" "PDE4D" "PDE4B"
[1] "REACTOME"
[1] 7503 56937 9172 2219 3887 6280
[1] 7503 56937 9172 2219 3887 6280
[1] 6135 5216 6207 6189 9045 6188
[1] "KEGG"
[1] 7503 56937 9172 2219 3887 6280
[1] 7503 56937 9172 2219 3887 6280
[1] 6135 5216 6207 6189 9045 6188Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/pathway"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/pathway/hsa"...[1] "GO"
[1] 7503 56937 9172 2219 3887 6280
[1] 7503 56937 9172 2219 3887 6280
[1] 6135 5216 6207 6189 9045 6188
[1] "MKEGG"
[1] 7503 56937 9172 2219 3887 6280
[1] 7503 56937 9172 2219 3887 6280
[1] 6135 5216 6207 6189 9045 6188Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/module"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/module"...
--> No gene can be mapped....
--> Expected input gene ID: 2027,2203,230,6389,2026,4191
--> return NULL...[1] "2"
[1] "Selecting Genes"'select()' returned 1:1 mapping between keys and columns
Warning: 2.34% of input gene IDs are fail to map...[1] "Unresolved gene symbols"
[1] "AC020656.1" "C6orf223" "FAM214B" "METTL7B" "TCTEX1D2" "TMEM251" [1] "Got geneRegVec"
[1] 250
[1] "Genes 250"
[1] 7503 10501 56937 3399 6354 6309
[1] "ZFYVE16" "DOCK4" "CD74" "CD63" "ABCG1" "WTAP"
[1] "UpGenes 191"
[1] 7503 10501 56937 3399 6354 6309
[1] "ZFYVE16" "DOCK4" "CD74" "CD63" "ABCG1" "WTAP"
[1] "downGenes 59"
[1] 6203 7311 4069 7114 6135 6206
[1] "STK38L" "ELL2" "CD93" "CCZ1B" "SPATA13" "FLCN"
[1] "REACTOME"
[1] 7503 10501 56937 3399 6354 6309
[1] 7503 10501 56937 3399 6354 6309
[1] 6203 7311 4069 7114 6135 6206
[1] "KEGG"
[1] 7503 10501 56937 3399 6354 6309
[1] 7503 10501 56937 3399 6354 6309
[1] 6203 7311 4069 7114 6135 6206Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/pathway"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/pathway/hsa"...[1] "GO"
[1] 7503 10501 56937 3399 6354 6309
[1] 7503 10501 56937 3399 6354 6309
[1] 6203 7311 4069 7114 6135 6206
[1] "MKEGG"
[1] 7503 10501 56937 3399 6354 6309
[1] 7503 10501 56937 3399 6354 6309
[1] 6203 7311 4069 7114 6135 6206Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/module"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/module"...
No gene sets have size between 10 and 500 ...
--> return NULL...[1] "3"
[1] "Selecting Genes"'select()' returned 1:1 mapping between keys and columns
Warning: 2% of input gene IDs are fail to map...[1] "Unresolved gene symbols"
[1] "WARS"[1] "Got geneRegVec"
[1] 49
[1] "Genes 49"
[1] 7503 102723169 6004 1235 1390 4092
[1] "MIDN" "BHLHE40" "SEMA7A" "XIST" "HSP90B1" "SLC2A3"
[1] "UpGenes 33"
[1] 7503 102723169 6004 1235 1390 4092
[1] "MIDN" "BHLHE40" "SEMA7A" "XIST" "HSP90B1" "SLC2A3"
[1] "downGenes 16"
[1] 6137 567 6139 6204 6224 10365
[1] "HLA-DQA1" "SNX8" "CEMIP2" "ABCA6" "KDM6B" "TSC22D3"
[1] "REACTOME"
[1] 7503 102723169 6004 1235 1390 4092
[1] 7503 102723169 6004 1235 1390 4092
[1] 6137 567 6139 6204 6224 10365
[1] "KEGG"
[1] 7503 102723169 6004 1235 1390 4092
[1] 7503 102723169 6004 1235 1390 4092
[1] 6137 567 6139 6204 6224 10365Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/pathway"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/pathway/hsa"...[1] "GO"
[1] 7503 102723169 6004 1235 1390 4092
[1] 7503 102723169 6004 1235 1390 4092
[1] 6137 567 6139 6204 6224 10365
[1] "MKEGG"
[1] 7503 102723169 6004 1235 1390 4092
[1] 7503 102723169 6004 1235 1390 4092
[1] 6137 567 6139 6204 6224 10365Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/module"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/module"...
--> No gene can be mapped....
--> Expected input gene ID: 5106,3417,25796,1431,2023,9563
--> return NULL...
--> No gene can be mapped....
--> Expected input gene ID: 5232,3417,5631,8789,221823,2539
--> return NULL...
--> No gene can be mapped....
--> Expected input gene ID: 6389,3420,2203,5226,5214,3098
--> return NULL...[1] "4"
[1] "Selecting Genes"'select()' returned 1:1 mapping between keys and columns
Warning: 4.09% of input gene IDs are fail to map...[1] "Unresolved gene symbols"
[1] "AC016831.5" "AC090559.1" "FAM49A" "KIAA1109" "MT-ND3" "MT-ND4L" "ODF3B" [1] "Got geneRegVec"
[1] 164
[1] "Genes 164"
[1] 5329 200315 29940 1514 80315 8899
[1] "JOSD1" "ZFYVE16" "SYTL3" "DDX60L" "SLC16A3" "SLC16A6"
[1] "UpGenes 162"
[1] 5329 200315 29940 1514 80315 8899
[1] "JOSD1" "ZFYVE16" "SYTL3" "DDX60L" "SLC16A3" "SLC16A6"
[1] "downGenes 2"
[1] 6144 3514
[1] "PDCD6IP" "TMEM170B"
[1] "REACTOME"
[1] 5329 200315 29940 1514 80315 8899
[1] 5329 200315 29940 1514 80315 8899
[1] 6144 3514
[1] "KEGG"
[1] 5329 200315 29940 1514 80315 8899
[1] 5329 200315 29940 1514 80315 8899
[1] 6144 3514Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/pathway"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/pathway/hsa"...[1] "GO"
[1] 5329 200315 29940 1514 80315 8899
[1] 5329 200315 29940 1514 80315 8899
[1] 6144 3514
[1] "MKEGG"
[1] 5329 200315 29940 1514 80315 8899
[1] 5329 200315 29940 1514 80315 8899
[1] 6144 3514Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/module"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/module"...
--> No gene can be mapped....
--> Expected input gene ID: 5631,8803,5313,2597,8801,2203
--> return NULL...[1] "5"
[1] "Selecting Genes"'select()' returned 1:1 mapping between keys and columns
Warning: 4.17% of input gene IDs are fail to map...[1] "Unresolved gene symbols"
[1] "GRASP"[1] "Got geneRegVec"
[1] 23
[1] "Genes 23"
[1] 8013 100505746 284207 5914 57602 6279
[1] "NR4A3" "RIPOR1" "BTG1" "SC5D" "S100A8" "RPS20"
[1] "UpGenes 14"
[1] 8013 100505746 284207 5914 57602 6279
[1] "NR4A3" "RIPOR1" "BTG1" "SC5D" "S100A8" "RPS20"
[1] "downGenes 9"
[1] 6142 6203 6137 6223 694 6224
[1] "HLA-DQB1" "METRNL" "FOS" "KDM6B" "MOB3A" "RPL39L"
[1] "REACTOME"
[1] 8013 100505746 284207 5914 57602 6279
[1] 8013 100505746 284207 5914 57602 6279
[1] 6142 6203 6137 6223 694 6224
[1] "KEGG"
[1] 8013 100505746 284207 5914 57602 6279
[1] 8013 100505746 284207 5914 57602 6279
[1] 6142 6203 6137 6223 694 6224Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/pathway"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/pathway/hsa"...[1] "GO"
[1] 8013 100505746 284207 5914 57602 6279
[1] 8013 100505746 284207 5914 57602 6279
[1] 6142 6203 6137 6223 694 6224
[1] "MKEGG"
[1] 8013 100505746 284207 5914 57602 6279
[1] 8013 100505746 284207 5914 57602 6279
[1] 6142 6203 6137 6223 694 6224Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/module"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/module"...
No gene sets have size between 10 and 500 ...
--> return NULL...
No gene sets have size between 10 and 500 ...
--> return NULL...
--> No gene can be mapped....
--> Expected input gene ID: 387712,221823,3417,4967,229,8277
--> return NULL...[1] "6"
[1] "Selecting Genes"'select()' returned 1:1 mapping between keys and columns[1] "Unresolved gene symbols"
character(0)[1] "Got geneRegVec"
[1] 7
[1] "Genes 7"
[1] 6201 9349 6224 54739 4061 9636
[1] "ISG15" "RPL23" "RPS20" "RPS7" "XAF1" "LY6E"
[1] "UpGenes 0"
numeric(0)
character(0)
[1] "downGenes 7"
[1] 6201 9349 6224 54739 4061 9636
[1] "ISG15" "RPL23" "RPS20" "RPS7" "XAF1" "LY6E"
[1] "REACTOME"
[1] 6201 9349 6224 54739 4061 9636
numeric(0)
[1] 6201 9349 6224 54739 4061 9636--> No gene can be mapped....
--> Expected input gene ID: 7975,4509,6181,10681,57605,3663
--> return NULL...[1] "KEGG"
[1] 6201 9349 6224 54739 4061 9636
numeric(0)
[1] 6201 9349 6224 54739 4061 9636Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/pathway"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/pathway/hsa"...
--> No gene can be mapped....
--> Expected input gene ID: 2271,2597,441282,36,3945,80201
--> return NULL...[1] "GO"
[1] 6201 9349 6224 54739 4061 9636
numeric(0)
[1] 6201 9349 6224 54739 4061 9636--> No gene can be mapped....
--> Expected input gene ID: 23590,10585,283417,2072,4706,79053
--> return NULL...[1] "MKEGG"
[1] 6201 9349 6224 54739 4061 9636
numeric(0)
[1] 6201 9349 6224 54739 4061 9636Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/module"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/module"...
--> No gene can be mapped....
--> Expected input gene ID: 2821,5224,8802,387712,3420,4967
--> return NULL...
--> No gene can be mapped....
--> Expected input gene ID: 5230,3099,3417,3098,5634,8277
--> return NULL...
--> No gene can be mapped....
--> Expected input gene ID: 4190,5223,5232,5226,226,9563
--> return NULL...[1] "7"
[1] "Selecting Genes"'select()' returned 1:1 mapping between keys and columns
Warning: 2.6% of input gene IDs are fail to map...[1] "Unresolved gene symbols"
[1] "C4orf48" "ELMSAN1" "H2AFJ" "KIAA0100" "MARCH7" "MT-ND6" "SARS" "WARS" [1] "Got geneRegVec"
[1] 300
[1] "Genes 300"
[1] 65117 925 10379 6282 51759 3429
[1] "PTBP3" "NUP153" "POM121" "PLEKHM1" "GIT2" "DELE1"
[1] "UpGenes 300"
[1] 65117 925 10379 6282 51759 3429
[1] "PTBP3" "NUP153" "POM121" "PLEKHM1" "GIT2" "DELE1"
[1] "downGenes 0"
numeric(0)
character(0)
[1] "REACTOME"
[1] 65117 925 10379 6282 51759 3429
[1] 65117 925 10379 6282 51759 3429
numeric(0)--> No gene can be mapped....
--> Expected input gene ID: 23526,646480,11120,196527,1373,10533
--> return NULL...[1] "KEGG"
[1] 65117 925 10379 6282 51759 3429
[1] 65117 925 10379 6282 51759 3429
numeric(0)Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/pathway"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/pathway/hsa"...
--> No gene can be mapped....
--> Expected input gene ID: 7365,51495,30,8790,39,2717
--> return NULL...[1] "GO"
[1] 65117 925 10379 6282 51759 3429
[1] 65117 925 10379 6282 51759 3429
numeric(0)--> No gene can be mapped....
--> Expected input gene ID: 93183,349152,84899,9941,64421,9488
--> return NULL...[1] "MKEGG"
[1] 65117 925 10379 6282 51759 3429
[1] 65117 925 10379 6282 51759 3429
numeric(0)Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/module"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/module"...
--> No gene can be mapped....
--> Expected input gene ID: 2597,3099,3098,3101,1738,5213
--> return NULL...[1] "8"
[1] "Selecting Genes"'select()' returned 1:1 mapping between keys and columns
Warning: 2.66% of input gene IDs are fail to map...[1] "Unresolved gene symbols"
[1] "AC004865.2" "AC005332.4" "AC092683.1" "AL627171.2" "C12orf10" "C12orf65" "C16orf72" "C16orf91" "C19orf48"
[10] "C7orf26" "DARS" "ELMSAN1" "FAM104A" "FAM126B" "FAM192A" "H2AFX" "HNRNPA1P48" "IARS"
[19] "KARS" "LINC00476" "MFSD14C" "MT-ND6" "ODF3B" "TARS" "TMEM173" "TMEM8A" "WARS"
[28] "YARS" "ZNRD1" [1] "Got geneRegVec"
[1] 1063
[1] "Genes 1063"
[1] 3123 9172 3433 9047 4780 9616
[1] "THOC1" "CCS" "DENND4B" "SMG7" "TOMM70" "EPM2AIP1"
[1] "UpGenes 1063"
[1] 3123 9172 3433 9047 4780 9616
[1] "THOC1" "CCS" "DENND4B" "SMG7" "TOMM70" "EPM2AIP1"
[1] "downGenes 0"
numeric(0)
character(0)
[1] "REACTOME"
[1] 3123 9172 3433 9047 4780 9616
[1] 3123 9172 3433 9047 4780 9616
numeric(0)--> No gene can be mapped....
--> Expected input gene ID: 1650,63827,7172,10385,282618,1024
--> return NULL...[1] "KEGG"
[1] 3123 9172 3433 9047 4780 9616
[1] 3123 9172 3433 9047 4780 9616
numeric(0)Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/pathway"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/pathway/hsa"...
--> No gene can be mapped....
--> Expected input gene ID: 6785,8789,55277,5236,64834,729020
--> return NULL...[1] "GO"
[1] 3123 9172 3433 9047 4780 9616
[1] 3123 9172 3433 9047 4780 9616
numeric(0)--> No gene can be mapped....
--> Expected input gene ID: 2687,29954,10585,644974,9488,85365
--> return NULL...[1] "MKEGG"
[1] 3123 9172 3433 9047 4780 9616
[1] 3123 9172 3433 9047 4780 9616
numeric(0)Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/module"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/module"...
--> No gene can be mapped....
--> Expected input gene ID: 3099,729020,5313,84076,4967,22934
--> return NULL...[1] "9"
[1] "Selecting Genes"'select()' returned 1:1 mapping between keys and columns[1] "Unresolved gene symbols"
character(0)[1] "Got geneRegVec"
[1] 30
[1] "Genes 30"
[1] 9172 54891 8651 124491 55422 23710
[1] "IER2" "ATG5" "MYOM2" "SH2D2A" "MIDN" "SOCS1"
[1] "UpGenes 30"
[1] 9172 54891 8651 124491 55422 23710
[1] "IER2" "ATG5" "MYOM2" "SH2D2A" "MIDN" "SOCS1"
[1] "downGenes 0"
numeric(0)
character(0)
[1] "REACTOME"
[1] 9172 54891 8651 124491 55422 23710
[1] 9172 54891 8651 124491 55422 23710
numeric(0)--> No gene can be mapped....
--> Expected input gene ID: 5919,60386,4598,54979,3632,10382
--> return NULL...[1] "KEGG"
[1] 9172 54891 8651 124491 55422 23710
[1] 9172 54891 8651 124491 55422 23710
numeric(0)Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/pathway"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/pathway/hsa"...
--> No gene can be mapped....
--> Expected input gene ID: 31,3948,83440,7358,6652,387712
--> return NULL...[1] "GO"
[1] 9172 54891 8651 124491 55422 23710
[1] 9172 54891 8651 124491 55422 23710
numeric(0)--> No gene can be mapped....
--> Expected input gene ID: 283417,10111,2072,54916,93183,349152
--> return NULL...[1] "MKEGG"
[1] 9172 54891 8651 124491 55422 23710
[1] 9172 54891 8651 124491 55422 23710
numeric(0)Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/module"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/module"...
--> No gene can be mapped....
--> Expected input gene ID: 5106,6391,5224,2203,221823,6389
--> return NULL...
--> No gene can be mapped....
--> Expected input gene ID: 4191,5106,7167,9563,229,2203
--> return NULL...
--> No gene can be mapped....
--> Expected input gene ID: 5634,5313,3418,25796,6389,80201
--> return NULL...[1] "10"
[1] "Selecting Genes"'select()' returned 1:1 mapping between keys and columns[1] "Unresolved gene symbols"
character(0)[1] "Got geneRegVec"
[1] 4
[1] "Genes 4"
[1] 1439 841 2769 23080
[1] "CASP8" "GNA15" "AVL9" "CSF2RB"
[1] "UpGenes 4"
[1] 1439 841 2769 23080
[1] "CASP8" "GNA15" "AVL9" "CSF2RB"
[1] "downGenes 0"
numeric(0)
character(0)
[1] "REACTOME"
[1] 1439 841 2769 23080
[1] 1439 841 2769 23080
numeric(0)--> No gene can be mapped....
--> Expected input gene ID: 93034,80128,219,6352,140453,23295
--> return NULL...[1] "KEGG"
[1] 1439 841 2769 23080
[1] 1439 841 2769 23080
numeric(0)Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/pathway"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/pathway/hsa"...
--> No gene can be mapped....
--> Expected input gene ID: 3418,5236,55276,37,34,1892
--> return NULL...[1] "GO"
[1] 1439 841 2769 23080
[1] 1439 841 2769 23080
numeric(0)--> No gene can be mapped....
--> Expected input gene ID: 79053,5932,8813,160418,349152,84899
--> return NULL...[1] "MKEGG"
[1] 1439 841 2769 23080
[1] 1439 841 2769 23080
numeric(0)Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/module"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/module"...
--> No gene can be mapped....
--> Expected input gene ID: 3099,3101,50,7086,6391,6888
--> return NULL...
--> No gene can be mapped....
--> Expected input gene ID: 2597,5106,1743,2645,4191,7167
--> return NULL...
--> No gene can be mapped....
--> Expected input gene ID: 22934,5631,4191,5232,3098,5313
--> return NULL...[1] "11"
[1] "Selecting Genes"'select()' returned 1:1 mapping between keys and columns[1] "Unresolved gene symbols"
character(0)[1] "Got geneRegVec"
[1] 4
[1] "Genes 4"
[1] 3127 3118 140739 3957
[1] "LGALS2" "HLA-DRB5" "HLA-DQA2" "UBE2F"
[1] "UpGenes 3"
[1] 3127 3118 140739
[1] "LGALS2" "HLA-DRB5" "HLA-DQA2"
[1] "downGenes 1"
[1] 3957
[1] "UBE2F"
[1] "REACTOME"
[1] 3127 3118 140739 3957
[1] 3127 3118 140739
[1] 3957--> No gene can be mapped....
--> Expected input gene ID: 7175,7372,919,51128,124583,2053
--> return NULL...[1] "KEGG"
[1] 3127 3118 140739 3957
[1] 3127 3118 140739
[1] 3957Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/pathway"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/pathway/hsa"...
--> No gene can be mapped....
--> Expected input gene ID: 2182,54898,2582,113612,2584,3420
--> return NULL...[1] "GO"
[1] 3127 3118 140739 3957
[1] 3127 3118 140739
[1] 3957
[1] "MKEGG"
[1] 3127 3118 140739 3957
[1] 3127 3118 140739
[1] 3957Reading KEGG annotation online: "https://rest.kegg.jp/link/hsa/module"...
Reading KEGG annotation online: "https://rest.kegg.jp/list/module"...
--> No gene can be mapped....
--> Expected input gene ID: 6389,8277,3418,25796,2027,6392
--> return NULL...
--> No gene can be mapped....
--> Expected input gene ID: 6120,226,230,1743,3419,22934
--> return NULL...
--> No gene can be mapped....
--> Expected input gene ID: 6389,84076,5226,80201,1738,5315
--> return NULL...[1] "12"
[1] "Selecting Genes"[1] "Unresolved gene symbols"
character(0)[1] "Got geneRegVec"
[1] 0
[1] "Done with all jobs, saving ..."
[1] "./gse_results.rds"Let’s visualize the enrichment results using clusterProfiler.
makeEnrichmentPlots( gseResults, outfolder = "enrichment_plots/" ) [1] "0" "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"
[1] "0"
[1] "0 rao"
[1] "enrichment_plots//enrichment/0/rao/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/rao/dotplot_30.data"
[1] "enrichment_plots//enrichment/0/rao/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/rao/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/0/rao/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao/cnetplot.svg"
[1] "enrichment_plots//enrichment/0/rao/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao/treeplot.svg"
[1] "enrichment_plots//enrichment/0/rao/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao/emapplot.svg"
[1] "0 rao_up"
[1] "enrichment_plots//enrichment/0/rao_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/0/rao_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/0/rao_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/0/rao_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/treeplot.svg"
[1] "enrichment_plots//enrichment/0/rao_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao_up/emapplot.svg"
[1] "0 rao_down"
[1] "enrichment_plots//enrichment/0/rao_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/0/rao_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/0/rao_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/0/rao_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/treeplot.svg"
[1] "enrichment_plots//enrichment/0/rao_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/rao_down/emapplot.svg"
[1] "0 keggo"
[1] "enrichment_plots//enrichment/0/keggo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/dotplot_30.data"
[1] "enrichment_plots//enrichment/0/keggo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/0/keggo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/cnetplot.svg"
[1] "enrichment_plots//enrichment/0/keggo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/treeplot.svg"
[1] "enrichment_plots//enrichment/0/keggo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/keggo/emapplot.svg"
[1] "0 keggo_up"
[1] "0 keggo_down"
[1] "enrichment_plots//enrichment/0/keggo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/0/keggo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/0/keggo_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/0/keggo_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/treeplot.svg"
[1] "enrichment_plots//enrichment/0/keggo_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/keggo_down/emapplot.svg"
[1] "0 mkeggo"
[1] "0 mkeggo_up"
[1] "0 mkeggo_down"
[1] "0 goo"
[1] "enrichment_plots//enrichment/0/goo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/goo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/goo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/goo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/goo/dotplot_30.data"
[1] "enrichment_plots//enrichment/0/goo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/goo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/goo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/goo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/goo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/0/goo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/0/goo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/goo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/goo/cnetplot.svg"
[1] "enrichment_plots//enrichment/0/goo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/goo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/goo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/goo/treeplot.svg"
[1] "enrichment_plots//enrichment/0/goo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/goo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/goo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/goo/emapplot.svg"
[1] "0 goo_up"
[1] "0 goo_down"
[1] "enrichment_plots//enrichment/0/goo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/0/goo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/0/goo_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/0/goo_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/treeplot.svg"
[1] "enrichment_plots//enrichment/0/goo_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/0/goo_down/emapplot.svg"
[1] "1"
[1] "1 rao"
[1] "enrichment_plots//enrichment/1/rao/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/rao/dotplot_30.data"
[1] "enrichment_plots//enrichment/1/rao/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/rao/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/1/rao/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao/cnetplot.svg"
[1] "enrichment_plots//enrichment/1/rao/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao/treeplot.svg"
[1] "enrichment_plots//enrichment/1/rao/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao/emapplot.svg"
[1] "1 rao_up"
[1] "enrichment_plots//enrichment/1/rao_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/1/rao_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/1/rao_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/1/rao_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/treeplot.svg"
[1] "enrichment_plots//enrichment/1/rao_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao_up/emapplot.svg"
[1] "1 rao_down"
[1] "enrichment_plots//enrichment/1/rao_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/1/rao_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/1/rao_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/1/rao_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/treeplot.svg"
[1] "enrichment_plots//enrichment/1/rao_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/rao_down/emapplot.svg"
[1] "1 keggo"
[1] "enrichment_plots//enrichment/1/keggo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/dotplot_30.data"
[1] "enrichment_plots//enrichment/1/keggo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/1/keggo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/cnetplot.svg"
[1] "enrichment_plots//enrichment/1/keggo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/treeplot.svg"
[1] "enrichment_plots//enrichment/1/keggo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo/emapplot.svg"
[1] "1 keggo_up"
[1] "enrichment_plots//enrichment/1/keggo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/1/keggo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/1/keggo_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/1/keggo_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/treeplot.svg"
[1] "enrichment_plots//enrichment/1/keggo_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_up/emapplot.svg"
[1] "1 keggo_down"
[1] "enrichment_plots//enrichment/1/keggo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/1/keggo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/1/keggo_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/1/keggo_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/treeplot.svg"
[1] "enrichment_plots//enrichment/1/keggo_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/keggo_down/emapplot.svg"
[1] "1 mkeggo"
[1] "1 mkeggo_up"
[1] "1 mkeggo_down"
[1] "1 goo"
[1] "enrichment_plots//enrichment/1/goo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/goo/dotplot_30.data"
[1] "enrichment_plots//enrichment/1/goo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/goo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/1/goo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo/cnetplot.svg"
[1] "enrichment_plots//enrichment/1/goo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo/treeplot.svg"
[1] "enrichment_plots//enrichment/1/goo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo/emapplot.svg"
[1] "1 goo_up"
[1] "enrichment_plots//enrichment/1/goo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/1/goo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/1/goo_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/1/goo_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/treeplot.svg"
[1] "enrichment_plots//enrichment/1/goo_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo_up/emapplot.svg"
[1] "1 goo_down"
[1] "enrichment_plots//enrichment/1/goo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/1/goo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/1/goo_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/1/goo_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/treeplot.svg"
[1] "enrichment_plots//enrichment/1/goo_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/1/goo_down/emapplot.svg"
[1] "2"
[1] "2 rao"
[1] "enrichment_plots//enrichment/2/rao/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/rao/dotplot_30.data"
[1] "enrichment_plots//enrichment/2/rao/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/rao/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/2/rao/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao/cnetplot.svg"
[1] "enrichment_plots//enrichment/2/rao/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao/treeplot.svg"
[1] "enrichment_plots//enrichment/2/rao/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao/emapplot.svg"
[1] "2 rao_up"
[1] "enrichment_plots//enrichment/2/rao_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/2/rao_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/2/rao_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/2/rao_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/treeplot.svg"
[1] "enrichment_plots//enrichment/2/rao_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao_up/emapplot.svg"
[1] "2 rao_down"
[1] "enrichment_plots//enrichment/2/rao_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/2/rao_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/2/rao_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/2/rao_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/treeplot.svg"
[1] "enrichment_plots//enrichment/2/rao_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/rao_down/emapplot.svg"
[1] "2 keggo"
[1] "enrichment_plots//enrichment/2/keggo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/dotplot_30.data"
[1] "enrichment_plots//enrichment/2/keggo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/2/keggo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/cnetplot.svg"
[1] "enrichment_plots//enrichment/2/keggo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/treeplot.svg"
[1] "enrichment_plots//enrichment/2/keggo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo/emapplot.svg"
[1] "2 keggo_up"
[1] "enrichment_plots//enrichment/2/keggo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/2/keggo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/2/keggo_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/2/keggo_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/treeplot.svg"
[1] "enrichment_plots//enrichment/2/keggo_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_up/emapplot.svg"
[1] "2 keggo_down"
[1] "enrichment_plots//enrichment/2/keggo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/2/keggo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/2/keggo_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/2/keggo_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/treeplot.svg"
[1] "enrichment_plots//enrichment/2/keggo_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/keggo_down/emapplot.svg"
[1] "2 mkeggo"
[1] "2 mkeggo_up"
[1] "2 mkeggo_down"
[1] "2 goo"
[1] "enrichment_plots//enrichment/2/goo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/goo/dotplot_30.data"
[1] "enrichment_plots//enrichment/2/goo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/goo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/2/goo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo/cnetplot.svg"
[1] "enrichment_plots//enrichment/2/goo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo/treeplot.svg"
[1] "enrichment_plots//enrichment/2/goo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo/emapplot.svg"
[1] "2 goo_up"
[1] "enrichment_plots//enrichment/2/goo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/2/goo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/2/goo_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/2/goo_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/treeplot.svg"
[1] "enrichment_plots//enrichment/2/goo_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo_up/emapplot.svg"
[1] "2 goo_down"
[1] "enrichment_plots//enrichment/2/goo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/2/goo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/2/goo_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/2/goo_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/treeplot.svg"
[1] "enrichment_plots//enrichment/2/goo_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/2/goo_down/emapplot.svg"
[1] "3"
[1] "3 rao"
[1] "enrichment_plots//enrichment/3/rao/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/rao/dotplot_30.data"
[1] "enrichment_plots//enrichment/3/rao/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/rao/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/3/rao/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao/cnetplot.svg"
[1] "enrichment_plots//enrichment/3/rao/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao/treeplot.svg"
[1] "enrichment_plots//enrichment/3/rao/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao/emapplot.svg"
[1] "3 rao_up"
[1] "enrichment_plots//enrichment/3/rao_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/3/rao_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/3/rao_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/3/rao_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/treeplot.svg"
[1] "enrichment_plots//enrichment/3/rao_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao_up/emapplot.svg"
[1] "3 rao_down"
[1] "enrichment_plots//enrichment/3/rao_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/3/rao_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/3/rao_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/3/rao_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/treeplot.svg"
[1] "enrichment_plots//enrichment/3/rao_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/rao_down/emapplot.svg"
[1] "3 keggo"
[1] "enrichment_plots//enrichment/3/keggo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/dotplot_30.data"
[1] "enrichment_plots//enrichment/3/keggo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/3/keggo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/cnetplot.svg"
[1] "enrichment_plots//enrichment/3/keggo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/treeplot.svg"
[1] "enrichment_plots//enrichment/3/keggo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo/emapplot.svg"
[1] "3 keggo_up"
[1] "enrichment_plots//enrichment/3/keggo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/3/keggo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/3/keggo_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_up/cnetplot.svg"
[1] "3 keggo_down"
[1] "enrichment_plots//enrichment/3/keggo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/3/keggo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/3/keggo_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/3/keggo_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/treeplot.svg"
[1] "enrichment_plots//enrichment/3/keggo_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/keggo_down/emapplot.svg"
[1] "3 mkeggo"
[1] "3 mkeggo_up"
[1] "3 mkeggo_down"
[1] "3 goo"
[1] "enrichment_plots//enrichment/3/goo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/goo/dotplot_30.data"
[1] "enrichment_plots//enrichment/3/goo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/goo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/3/goo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo/cnetplot.svg"
[1] "enrichment_plots//enrichment/3/goo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo/treeplot.svg"
[1] "enrichment_plots//enrichment/3/goo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo/emapplot.svg"
[1] "3 goo_up"
[1] "enrichment_plots//enrichment/3/goo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/3/goo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/3/goo_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/3/goo_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/treeplot.svg"
[1] "enrichment_plots//enrichment/3/goo_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo_up/emapplot.svg"
[1] "3 goo_down"
[1] "enrichment_plots//enrichment/3/goo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/goo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/3/goo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/3/goo_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/3/goo_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/3/goo_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/3/goo_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/3/goo_down/cnetplot.svg"
[1] "4"
[1] "4 rao"
[1] "enrichment_plots//enrichment/4/rao/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/rao/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/rao/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/rao/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/rao/dotplot_30.data"
[1] "enrichment_plots//enrichment/4/rao/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/rao/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/rao/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/rao/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/rao/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/4/rao/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/4/rao/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/4/rao/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/rao/cnetplot.svg"
[1] "enrichment_plots//enrichment/4/rao/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/4/rao/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/4/rao/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/rao/treeplot.svg"
[1] "enrichment_plots//enrichment/4/rao/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/4/rao/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/4/rao/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/rao/emapplot.svg"
[1] "4 rao_up"
[1] "enrichment_plots//enrichment/4/rao_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/4/rao_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/4/rao_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/4/rao_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/treeplot.svg"
[1] "enrichment_plots//enrichment/4/rao_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/rao_up/emapplot.svg"
[1] "4 rao_down"
[1] "4 keggo"
[1] "enrichment_plots//enrichment/4/keggo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/keggo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/keggo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/keggo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/keggo/dotplot_30.data"
[1] "enrichment_plots//enrichment/4/keggo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/keggo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/keggo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/keggo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/keggo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/4/keggo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/4/keggo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/4/keggo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/keggo/cnetplot.svg"
[1] "4 keggo_up"
[1] "enrichment_plots//enrichment/4/keggo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/keggo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/keggo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/keggo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/keggo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/4/keggo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/keggo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/keggo_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/keggo_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/keggo_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/4/keggo_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/4/keggo_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/4/keggo_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/keggo_up/cnetplot.svg"
[1] "4 keggo_down"
[1] "4 mkeggo"
[1] "enrichment_plots//enrichment/4/mkeggo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/dotplot_30.data"
[1] "enrichment_plots//enrichment/4/mkeggo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/4/mkeggo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/treeplot.svg"
[1] "enrichment_plots//enrichment/4/mkeggo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo/emapplot.svg"
[1] "4 mkeggo_up"
[1] "enrichment_plots//enrichment/4/mkeggo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/4/mkeggo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/4/mkeggo_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/treeplot.svg"
[1] "enrichment_plots//enrichment/4/mkeggo_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/mkeggo_up/emapplot.svg"
[1] "4 mkeggo_down"
[1] "4 goo"
[1] "4 goo_up"
[1] "4 goo_down"
[1] "enrichment_plots//enrichment/4/goo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/goo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/goo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/goo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/goo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/4/goo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/4/goo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/4/goo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/4/goo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/4/goo_down/barplot_qvalue_30.data"
[1] "5"
[1] "5 rao"
[1] "enrichment_plots//enrichment/5/rao/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/rao/dotplot_30.data"
[1] "enrichment_plots//enrichment/5/rao/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/rao/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/5/rao/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao/cnetplot.svg"
[1] "enrichment_plots//enrichment/5/rao/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao/treeplot.svg"
[1] "enrichment_plots//enrichment/5/rao/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao/emapplot.svg"
[1] "5 rao_up"
[1] "enrichment_plots//enrichment/5/rao_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/5/rao_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/5/rao_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/treeplot.svg"
[1] "enrichment_plots//enrichment/5/rao_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao_up/emapplot.svg"
[1] "5 rao_down"
[1] "enrichment_plots//enrichment/5/rao_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/5/rao_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/5/rao_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/5/rao_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/treeplot.svg"
[1] "enrichment_plots//enrichment/5/rao_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/rao_down/emapplot.svg"
[1] "5 keggo"
[1] "enrichment_plots//enrichment/5/keggo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/dotplot_30.data"
[1] "enrichment_plots//enrichment/5/keggo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/5/keggo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/cnetplot.svg"
[1] "enrichment_plots//enrichment/5/keggo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/treeplot.svg"
[1] "enrichment_plots//enrichment/5/keggo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/keggo/emapplot.svg"
[1] "5 keggo_up"
[1] "5 keggo_down"
[1] "enrichment_plots//enrichment/5/keggo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/5/keggo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/5/keggo_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/5/keggo_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/treeplot.svg"
[1] "enrichment_plots//enrichment/5/keggo_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/keggo_down/emapplot.svg"
[1] "5 mkeggo"
[1] "5 mkeggo_up"
[1] "5 mkeggo_down"
[1] "5 goo"
[1] "enrichment_plots//enrichment/5/goo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/goo/dotplot_30.data"
[1] "enrichment_plots//enrichment/5/goo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/goo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/5/goo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo/cnetplot.svg"
[1] "enrichment_plots//enrichment/5/goo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo/treeplot.svg"
[1] "enrichment_plots//enrichment/5/goo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo/emapplot.svg"
[1] "5 goo_up"
[1] "enrichment_plots//enrichment/5/goo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/5/goo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/5/goo_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/5/goo_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/treeplot.svg"
[1] "enrichment_plots//enrichment/5/goo_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo_up/emapplot.svg"
[1] "5 goo_down"
[1] "enrichment_plots//enrichment/5/goo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/5/goo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/5/goo_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/5/goo_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/treeplot.svg"
[1] "enrichment_plots//enrichment/5/goo_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/5/goo_down/emapplot.svg"
[1] "6"
[1] "6 rao"
[1] "enrichment_plots//enrichment/6/rao/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/6/rao/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/6/rao/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/rao/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/6/rao/dotplot_30.data"
[1] "enrichment_plots//enrichment/6/rao/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/6/rao/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/6/rao/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/rao/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/6/rao/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/6/rao/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/6/rao/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/rao/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/rao/cnetplot.svg"
[1] "enrichment_plots//enrichment/6/rao/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/6/rao/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/rao/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/rao/treeplot.svg"
[1] "enrichment_plots//enrichment/6/rao/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/6/rao/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/rao/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/rao/emapplot.svg"
[1] "6 rao_up"
[1] "6 rao_down"
[1] "enrichment_plots//enrichment/6/rao_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/6/rao_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/6/rao_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/6/rao_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/treeplot.svg"
[1] "enrichment_plots//enrichment/6/rao_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/rao_down/emapplot.svg"
[1] "6 keggo"
[1] "enrichment_plots//enrichment/6/keggo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/dotplot_30.data"
[1] "enrichment_plots//enrichment/6/keggo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/6/keggo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/cnetplot.svg"
[1] "enrichment_plots//enrichment/6/keggo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/treeplot.svg"
[1] "enrichment_plots//enrichment/6/keggo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/keggo/emapplot.svg"
[1] "6 keggo_up"
[1] "6 keggo_down"
[1] "enrichment_plots//enrichment/6/keggo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/6/keggo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/6/keggo_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/6/keggo_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/treeplot.svg"
[1] "enrichment_plots//enrichment/6/keggo_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/keggo_down/emapplot.svg"
[1] "6 mkeggo"
[1] "6 mkeggo_up"
[1] "6 mkeggo_down"
[1] "6 goo"
[1] "enrichment_plots//enrichment/6/goo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/6/goo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/6/goo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/goo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/6/goo/dotplot_30.data"
[1] "enrichment_plots//enrichment/6/goo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/6/goo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/6/goo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/goo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/6/goo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/6/goo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/6/goo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/goo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/goo/cnetplot.svg"
[1] "enrichment_plots//enrichment/6/goo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/6/goo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/goo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/goo/treeplot.svg"
[1] "enrichment_plots//enrichment/6/goo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/6/goo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/goo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/goo/emapplot.svg"
[1] "6 goo_up"
[1] "6 goo_down"
[1] "enrichment_plots//enrichment/6/goo_down/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/dotplot_30.data"
[1] "enrichment_plots//enrichment/6/goo_down/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/6/goo_down/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/cnetplot.svg"
[1] "enrichment_plots//enrichment/6/goo_down/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/treeplot.svg"
[1] "enrichment_plots//enrichment/6/goo_down/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/6/goo_down/emapplot.svg"
[1] "7"
[1] "7 rao"
[1] "7 rao_up"
[1] "7 rao_down"
[1] "7 keggo"
[1] "7 keggo_up"
[1] "7 keggo_down"
[1] "7 mkeggo"
[1] "7 mkeggo_up"
[1] "7 mkeggo_down"
[1] "7 goo"
[1] "enrichment_plots//enrichment/7/goo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/7/goo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/7/goo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/7/goo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/7/goo/dotplot_30.data"
[1] "enrichment_plots//enrichment/7/goo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/7/goo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/7/goo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/7/goo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/7/goo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/7/goo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/7/goo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/7/goo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/7/goo/cnetplot.svg"
[1] "enrichment_plots//enrichment/7/goo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/7/goo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/7/goo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/7/goo/treeplot.svg"
[1] "enrichment_plots//enrichment/7/goo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/7/goo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/7/goo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/7/goo/emapplot.svg"
[1] "7 goo_up"
[1] "enrichment_plots//enrichment/7/goo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/7/goo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/7/goo_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/7/goo_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/treeplot.svg"
[1] "enrichment_plots//enrichment/7/goo_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/7/goo_up/emapplot.svg"
[1] "7 goo_down"
[1] "8"
[1] "8 rao"
[1] "8 rao_up"
[1] "8 rao_down"
[1] "8 keggo"
[1] "8 keggo_up"
[1] "8 keggo_down"
[1] "8 mkeggo"
[1] "8 mkeggo_up"
[1] "8 mkeggo_down"
[1] "8 goo"
[1] "8 goo_up"
[1] "8 goo_down"
[1] "9"
[1] "9 rao"
[1] "9 rao_up"
[1] "9 rao_down"
[1] "9 keggo"
[1] "enrichment_plots//enrichment/9/keggo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/9/keggo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/9/keggo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/9/keggo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/9/keggo/dotplot_30.data"
[1] "enrichment_plots//enrichment/9/keggo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/9/keggo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/9/keggo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/9/keggo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/9/keggo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/9/keggo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/9/keggo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/9/keggo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/9/keggo/cnetplot.svg"
[1] "9 keggo_up"
[1] "enrichment_plots//enrichment/9/keggo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/9/keggo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/9/keggo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/9/keggo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/9/keggo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/9/keggo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/9/keggo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/9/keggo_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/9/keggo_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/9/keggo_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/9/keggo_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/9/keggo_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/9/keggo_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/9/keggo_up/cnetplot.svg"
[1] "9 keggo_down"
[1] "9 mkeggo"
[1] "9 mkeggo_up"
[1] "9 mkeggo_down"
[1] "9 goo"
[1] "9 goo_up"
[1] "9 goo_down"
[1] "10"
[1] "10 rao"
[1] "enrichment_plots//enrichment/10/rao/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/10/rao/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/10/rao/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/10/rao/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/10/rao/dotplot_30.data"
[1] "enrichment_plots//enrichment/10/rao/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/10/rao/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/10/rao/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/10/rao/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/10/rao/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/10/rao/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/10/rao/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/10/rao/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/10/rao/treeplot.svg"
[1] "enrichment_plots//enrichment/10/rao/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/10/rao/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/10/rao/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/10/rao/emapplot.svg"
[1] "10 rao_up"
[1] "enrichment_plots//enrichment/10/rao_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/10/rao_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/10/rao_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/treeplot.svg"
[1] "enrichment_plots//enrichment/10/rao_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/10/rao_up/emapplot.svg"
[1] "10 rao_down"
[1] "10 keggo"
[1] "10 keggo_up"
[1] "10 keggo_down"
[1] "10 mkeggo"
[1] "10 mkeggo_up"
[1] "10 mkeggo_down"
[1] "10 goo"
[1] "enrichment_plots//enrichment/10/goo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/10/goo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/10/goo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/10/goo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/10/goo/dotplot_30.data"
[1] "enrichment_plots//enrichment/10/goo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/10/goo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/10/goo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/10/goo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/10/goo/barplot_qvalue_30.data"
[1] "10 goo_up"
[1] "enrichment_plots//enrichment/10/goo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/10/goo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/10/goo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/10/goo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/10/goo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/10/goo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/10/goo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/10/goo_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/10/goo_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/10/goo_up/barplot_qvalue_30.data"
[1] "10 goo_down"
[1] "11"
[1] "11 rao"
[1] "enrichment_plots//enrichment/11/rao/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/11/rao/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/11/rao/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/rao/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/11/rao/dotplot_30.data"
[1] "enrichment_plots//enrichment/11/rao/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/11/rao/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/11/rao/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/rao/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/11/rao/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/11/rao/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/11/rao/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/11/rao/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/rao/cnetplot.svg"
[1] "enrichment_plots//enrichment/11/rao/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/11/rao/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/11/rao/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/rao/treeplot.svg"
[1] "enrichment_plots//enrichment/11/rao/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/11/rao/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/11/rao/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/rao/emapplot.svg"
[1] "11 rao_up"
[1] "enrichment_plots//enrichment/11/rao_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/11/rao_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/11/rao_up/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/cnetplot.svg"
[1] "enrichment_plots//enrichment/11/rao_up/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/treeplot.svg"
[1] "enrichment_plots//enrichment/11/rao_up/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/rao_up/emapplot.svg"
[1] "11 rao_down"
[1] "11 keggo"
[1] "enrichment_plots//enrichment/11/keggo/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/dotplot_30.data"
[1] "enrichment_plots//enrichment/11/keggo/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/barplot_qvalue_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/barplot_qvalue_30.svg"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/barplot_qvalue_30.data"
[1] "enrichment_plots//enrichment/11/keggo/cnetplot 12 12"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/cnetplot.png"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/cnetplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/cnetplot.svg"
[1] "enrichment_plots//enrichment/11/keggo/treeplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/treeplot.png"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/treeplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/treeplot.svg"
[1] "enrichment_plots//enrichment/11/keggo/emapplot 8 12"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/emapplot.png"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/emapplot.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/keggo/emapplot.svg"
[1] "11 keggo_up"
[1] "enrichment_plots//enrichment/11/keggo_up/dotplot_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/11/keggo_up/dotplot_30.png"
[1] "Saving to file enrichment_plots//enrichment/11/keggo_up/dotplot_30.pdf"
[1] "Saving to file enrichment_plots//enrichment/11/keggo_up/dotplot_30.svg"
[1] "Saving to file enrichment_plots//enrichment/11/keggo_up/dotplot_30.data"
[1] "enrichment_plots//enrichment/11/keggo_up/barplot_qvalue_30 6 12"
[1] "Saving to file enrichment_plots//enrichment/11/keggo_up/barplot_qvalue_30.png"
[1] "Saving to file enrichment_plots//enrichment/11/keggo_up/barplot_qvalue_30.pdf"
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[1] "12"
[1] "12 rao"
[1] "12 rao_up"
[1] "12 rao_down"print(sessionInfo())R version 4.3.3 (2024-02-29 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 11 x64 (build 26100)
Matrix products: default
locale:
[1] LC_COLLATE=English_Germany.utf8 LC_CTYPE=English_Germany.utf8 LC_MONETARY=English_Germany.utf8
[4] LC_NUMERIC=C LC_TIME=English_Germany.utf8
time zone: Europe/Berlin
tzcode source: internal
attached base packages:
[1] stats4 stats graphics grDevices utils datasets methods base
other attached packages:
[1] org.Hs.eg.db_3.18.0 AnnotationDbi_1.64.1 IRanges_2.36.0 S4Vectors_0.40.2 Biobase_2.62.0 BiocGenerics_0.48.1
[7] PLOSC_0.0.0.9000 Seurat_5.2.1 SeuratObject_5.0.2 sp_2.2-0
loaded via a namespace (and not attached):
[1] progress_1.2.3 urlchecker_1.0.1 shinythemes_1.2.0 goftest_1.2-3 Biostrings_2.70.3
[6] vctrs_0.6.5 spatstat.random_3.3-2 digest_0.6.37 png_0.1-8 shape_1.4.6.1
[11] ggrepel_0.9.6 org.Mm.eg.db_3.18.0 deldir_2.0-4 parallelly_1.42.0 MASS_7.3-60.0.1
[16] reshape2_1.4.4 httpuv_1.6.15 foreach_1.5.2 qvalue_2.34.0 withr_3.0.2
[21] ggrastr_1.0.2 xfun_0.50 ggfun_0.1.8 ggpubr_0.6.0 ellipsis_0.3.2
[26] survival_3.6-4 memoise_2.0.1 ggbeeswarm_0.7.2 clusterProfiler_4.10.1 gson_0.1.0
[31] profvis_0.3.8 systemfonts_1.2.1 tidytree_0.4.6 zoo_1.8-12 GlobalOptions_0.1.2
[36] gtools_3.9.5 pbapply_1.7-2 Formula_1.2-5 prettyunits_1.2.0 KEGGREST_1.42.0
[41] promises_1.3.2 httr_1.4.7 rstatix_0.7.2 globals_0.16.3 fitdistrplus_1.2-2
[46] rstudioapi_0.17.1 miniUI_0.1.1.1 generics_0.1.3 DOSE_3.28.2 reactome.db_1.86.2
[51] curl_5.2.1 zlibbioc_1.48.2 ggraph_2.2.1 polyclip_1.10-7 GenomeInfoDbData_1.2.11
[56] xtable_1.8-4 stringr_1.5.1 desc_1.4.3 doParallel_1.0.17 evaluate_1.0.3
[61] BiocFileCache_2.10.2 hms_1.1.3 irlba_2.3.5.1 colorspace_2.1-1 filelock_1.0.3
[66] hdf5r_1.3.12 ROCR_1.0-11 reticulate_1.40.0 spatstat.data_3.1-4 shinyWidgets_0.8.7
[71] magrittr_2.0.3 lmtest_0.9-40 later_1.4.1 viridis_0.6.5 ggtree_3.10.1
[76] lattice_0.22-6 spatstat.geom_3.3-5 future.apply_1.11.3 scattermore_1.2 XML_3.99-0.18
[81] shadowtext_0.1.4 cowplot_1.1.3 matrixStats_1.5.0 RcppAnnoy_0.0.22 pillar_1.10.1
[86] nlme_3.1-164 iterators_1.0.14 compiler_4.3.3 RSpectra_0.16-2 stringi_1.8.4
[91] tensor_1.5 devtools_2.4.5 plyr_1.8.9 crayon_1.5.3 abind_1.4-8
[96] gridGraphics_0.5-1 graphlayouts_1.2.2 bit_4.5.0.1 dqshiny_0.0.5 dplyr_1.1.4
[101] fastmatch_1.1-6 codetools_0.2-20 bslib_0.9.0 GetoptLong_1.0.5 plotly_4.10.4
[106] mime_0.12 splines_4.3.3 circlize_0.4.16 Rcpp_1.0.14 fastDummies_1.7.5
[111] dbplyr_2.5.0 HDO.db_0.99.1 shinyFiles_0.9.3 knitr_1.49 blob_1.2.4
[116] clue_0.3-66 fs_1.6.5 listenv_0.9.1 pkgbuild_1.4.4 ggsignif_0.6.4
[121] ggplotify_0.1.2 tibble_3.2.1 Matrix_1.6-5 svglite_2.1.3 tweenr_2.0.3
[126] pkgconfig_2.0.3 tools_4.3.3 cachem_1.1.0 RSQLite_2.3.9 viridisLite_0.4.2
[131] DBI_1.2.3 graphite_1.48.0 fastmap_1.2.0 rmarkdown_2.29 scales_1.3.0
[136] grid_4.3.3 usethis_2.2.3 ica_1.0-3 broom_1.0.7 sass_0.4.9
[141] patchwork_1.3.0 dotCall64_1.2 graph_1.80.0 carData_3.0-5 RANN_2.6.2
[146] farver_2.1.2 tidygraph_1.3.1 scatterpie_0.2.4 yaml_2.3.10 cli_3.6.3
[151] purrr_1.0.4 writexl_1.5.1 lifecycle_1.0.4 uwot_0.2.2 sessioninfo_1.2.2
[156] backports_1.5.0 BiocParallel_1.36.0 gtable_0.3.6 rjson_0.2.23 ggridges_0.5.6
[161] progressr_0.15.1 parallel_4.3.3 ape_5.8-1 testthat_3.2.1.1 jsonlite_1.8.9
[166] RcppHNSW_0.6.0 bitops_1.0-9 ggplot2_3.5.1 bit64_4.6.0-1 brio_1.1.5
[171] Rtsne_0.17 yulab.utils_0.2.0 ReactomePA_1.46.0 spatstat.utils_3.1-2 jquerylib_0.1.4
[176] GOSemSim_2.28.1 shinyjs_2.1.0 spatstat.univar_3.1-1 lazyeval_0.2.2 shiny_1.10.0
[181] htmltools_0.5.8.1 enrichplot_1.22.0 GO.db_3.18.0 sctransform_0.4.1 rappdirs_0.3.3
[186] glue_1.8.0 spam_2.11-1 XVector_0.42.0 RCurl_1.98-1.16 rprojroot_2.0.4
[191] treeio_1.26.0 gridExtra_2.3 igraph_2.1.4 R6_2.6.1 tidyr_1.3.1
[196] labeling_0.4.3 cluster_2.1.6 pkgload_1.3.4 aplot_0.2.4 GenomeInfoDb_1.38.8
[201] tidyselect_1.2.1 vipor_0.4.7 ggforce_0.4.2 xml2_1.3.6 car_3.1-3
[206] future_1.34.0 munsell_0.5.1 KernSmooth_2.23-24 EnhancedVolcano_1.20.0 data.table_1.16.4
[211] htmlwidgets_1.6.4 fgsea_1.28.0 ComplexHeatmap_2.18.0 RColorBrewer_1.1-3 biomaRt_2.58.2
[216] rlang_1.1.5 spatstat.sparse_3.1-0 tidyverse_2.0.0 spatstat.explore_3.3-4 remotes_2.5.0
[221] ggnewscale_0.5.0 Cairo_1.6-2 beeswarm_0.4.0 save.image("vignette_using_plosc.RData")---
title: "Using PLO(SC)²"
output: html_notebook
---

This R-Markdown will guide you through an example analysis using PLO(SC)².

```{r}

library("Seurat")
library("PLOSC")

```


Reading in all files and automatically assigning sample names

```{r}

files <- Sys.glob("T:/scdata/covid_sc_cellranger/h5files/*.h5")
inputMatrices = readH5Files(files, sample_element=5, sample_processor=function(x){return(substr(x, 1, 10))})

```

Transforms the inputMatrices into Seurat objects, and preprocesses these for 3000 highly variable genes.

```{r}

objlist.raw = toObjList(inputMatrices, patternList_human(), 3000)

```

The input matrices (in the example case these contain all cells) are filtered: 100 < nFeature_RNA < 6000, nCount_RNA > 500 and percent_mt < 7.

```{r}

objlist = scatterAndFilter(objlist.raw, nfeature_rna.lower=100, nfeature_rna.upper=6000, ncount_rna.lower=500, percent_mt.upper=7, plot=FALSE, plot.after=TRUE)

```

Number of remaining cells per experiment

```{r}

print("cells per experiment")
print(mapply(sum, lapply(objlist, function(x) {dim(x)[2]})))
print("total cells")
print(sum(mapply(sum, lapply(objlist, function(x) {dim(x)[2]}))))

```

The raw input files are not needed anymore and deleted to save some RAM.

```{r}

objlist.raw = NULL
inputMatrices = NULL

```

The different libraries are meant to be integrated/batch removed. This step is prepared here, by first estimating cell-cycle per cell, calculating 3000 highly variable features and regressing out the cell-cycle genes in 3000 scaled genes (which are also those used for the integrating the datasets.)

```{r}

finalList = prepareIntegration(objlist, cc.use.genes = cc.genes, nfeatures.variable = 3000, nfeatures.scale=3000, run.parallel=FALSE)

```

This step performs the actual integration using the features (genes) determined in the previous command, and using the rpca method. On some R installations running RunPCA in parallel stalls R, hence it can be switched off here. No further assay (e.g. CITE-seq) is to be integrated, hence add.do is set to False.

```{r}

integratedList_sample = performIntegration(finalList$data, "libintegration", features.integration = finalList$features, gex.method.normalization="LogNormalize", gex.method.integration="rpca", add.do=FALSE, run.parallel=TRUE)

```

The ElbowPlot helps us to estimate how many PCs are needed for dimensional reduction (e.g. UMAP).

```{r}

ElbowPlot(integratedList_sample$integrated, ndims=30, reduction = "igpca")

```

The preprocessIntegrated function calculates a UMAP representation of the data and clusters the cells.

```{r}

obj.integrated = preprocessIntegrated(integratedList_sample$integrated, "integratedgex", "libintegration",  resolution=0.5, num.pcs=10, dim.reduction="igpca", with.hto=FALSE)


```

This removes the UMAP calculated during the performIntegration-step.

```{r}
obj.integrated@reductions$ig.umap = NULL
```

Showing the calculated UMAP representation.

```{r}
DimPlot(obj.integrated, label=T)
```

```{r}

df = read.table("samples2condition.tsv", header = TRUE)
df[order(df$sampleid),]

```

We now add meta-data to our object for further processing.

```{r}

annotateList.sample_condition = list(
  list(name="SYMPTOMATIC", selector="^20094_0001"),
  list(name="SYMPTOMATIC", selector="^20094_0002"),
  list(name="SYMPTOMATIC", selector="^20094_0003"),
  list(name="ASYMPTOMATIC", selector="^20094_0004"),
  list(name="ASYMPTOMATIC", selector="^20094_0005"),
  list(name="ASYMPTOMATIC", selector="^20094_0006"),
  list(name="SYMPTOMATIC", selector="^20094_0007"),
  list(name="SYMPTOMATIC", selector="^20094_0008"),
  list(name="SYMPTOMATIC", selector="^20094_0009"),
  list(name="CONTROL", selector="^20094_0012")

)

obj.integrated = annotateByCellnamePattern( obj.integrated, "condition", annotateList.sample_condition, order=c("CONTROL", "ASYMPTOMATIC", "SYMPTOMATIC"))

annotateList.sample_condition = list(
  list(name="TP 1", selector="^20094_0001"),
  list(name="TP 2", selector="^20094_0002"),
  list(name="TP 3", selector="^20094_0003"),
  list(name="TP 1", selector="^20094_0004"),
  list(name="TP 2", selector="^20094_0005"),
  list(name="TP 3", selector="^20094_0006"),
  list(name="TP 1", selector="^20094_0007"),
  list(name="TP 2", selector="^20094_0008"),
  list(name="TP 3", selector="^20094_0009"),
  list(name="Ctrl", selector="^20094_0012")
)

obj.integrated = annotateByCellnamePattern( obj.integrated, "tp", annotateList.sample_condition, order=c("Ctrl", "TP 1", "TP 2", "TP 3"))


```

The makeUMAPPlot functin draws a 2D UMAP array, which is a good tool to visualize a time-series experiment across several conditions.

```{r, fig.width=24, fig.height=20}
p=makeUMAPPlot(obj.integrated, dim1 = "condition", dim2="tp", group.by="idents", downsample = FALSE)
save_plot(p, "split_dimplot_downsample_no", 24, 20)

```

The downsample-options reduces the number of shown cells in all plots to the same number (the minimum of all).

```{r, fig.width=24, fig.height=20}
p=makeUMAPPlot(obj.integrated, dim1 = "condition", dim2="tp", group.by="idents", downsample = TRUE)
save_plot(p, "split_dimplot_downsample", 24, 20)


```


Next we perform marker-gene analysis (DE genes per cluster). The makeDEResults function calls FindAllMarkers, but enhances these results with a summary statistic per gene.

```{r}

dir.create("libintegration/de")

exprdfTT = makeDEResults(obj.integrated, assay="RNA", test="t")
write.table(exprdfTT, "libintegration/de/expr_test_t.tsv", sep="\t", row.names=F, quote = F)
writexl::write_xlsx(exprdfTT, "libintegration/de/expr_test_t.xlsx")
print(head(exprdfTT))

```


Next we calculate a module score for a set of interferon-stimulating genes, which are analysed in the following plots.

```{r}
DefaultAssay(obj.integrated)= "RNA"

isgGenes = unique(c("MT2A", "ISG15", "LY6E", "IFIT1", "IFIT2", "IFIT3", "IFITM1", "IFITM3", "IFI44L", "IFI6", "MX1", "IFI27",  "IFI44L", "RSAD2", "SIGLEC1", "IFIT1"))

obj.integrated = AddModuleScore(obj.integrated, features =  isgGenes, name = "isg_score_small")

```

Let's briefly visualize the gene signature:

```{r}
FeaturePlot(obj.integrated, "isg_score_small1")

```

```{r}
obj.integrated$cond_tp = paste(obj.integrated$condition, obj.integrated$tp, sep=" ")
```

The splitFeaturePlot is a separate FeaturePlot for each panel defined by the split.by clause. All panels have the same limits and are thus easily comparable.

```{r, fig.width=30, fig.height=15}
p=splitFeaturePlot(obj.integrated, "isg_score_small1", split.by="cond_tp", title="FeaturePlot", ncol=4)
save_plot(p, "split_featureplot_isg", 30, 15)

```

The comparativeVioBoxPlot combines a BoxPlot with a Violin Plot and performs statistical tests within each group (between the subsets defined by split.by).

```{r fig.width=12, fig.height=8}

p=comparativeVioBoxPlot(obj.integrated, "isg_score_small1", group.by="condition", split.by="tp", yStepIncrease = 1, verbose=FALSE)
save_plot(p, "comparative_violin_isg", 12, 8)

```

The plot is also customizable in terms of colors.

```{r fig.width=12, fig.height=8}

dsrCols = list("Ctrl"="steelblue4", "TP 1"="darkred", "TP 2"="chocolate2", "TP 3"="darkseagreen3")

p=comparativeVioBoxPlot(obj.integrated, "isg_score_small1", group.by="condition", split.by="tp", yStepIncrease = 1, verbose=FALSE, dsrCols = dsrCols, boxplot_grey = "ivory4")
save_plot(p, "comparative_violin_isg_custom", 12, 8)

```

```{r}
unique(obj.integrated$condition)
```
And also works when only one major group is available.

```{r}

dsrCols = list("Ctrl"="steelblue4", "TP 1"="darkred", "TP 2"="chocolate2", "TP 3"="darkseagreen3")

comparativeVioBoxPlot(subset(obj.integrated, condition=="ASYMPTOMATIC"), "isg_score_small1", group.by="condition", split.by="tp", yStepIncrease = 1, verbose=FALSE, dsrCols = dsrCols, boxplot_grey = "ivory4")

```

```{r}
obj.integrated = Seurat::ScaleData(obj.integrated)
obj.integrated

```

```{r}
unique(obj.integrated$idents)
```
Single heatmap plot of the isgGenes per cluster. Scaled globally from ScaleData.

```{r}

plotGOIs = list("1"=list("clusters"=c("0"), "genes"=isgGenes))

p=enhancedHeatMap(obj.integrated, plotGOIs, group.by="idents", include_all_clusters = TRUE, title="Heatmap of ISG Genes", scale.by="GLOBAL")
save_plot(p, "heatmap_isg_genes", 12, 8, save.data = FALSE)
```
Single heatmap plot of the isgGenes per cluster. Scaled by all shown values in the heatmap.

```{r}

plotGOIs = list("1"=list("clusters"=c("0"), "genes"=isgGenes))

p=enhancedHeatMap(obj.integrated, plotGOIs, group.by="idents", include_all_clusters = TRUE, title="Heatmap of ISG Genes", scale.by="ALL")
save_plot(p, "heatmap_isg_genes_ALL", 12, 8, save.data = FALSE)


```
Split heatmap plot, grouping the cells per cluster and split the results per condition. Scaled globally from ScaleData

```{r fig.width=30, fig.height=10}

p=makeComplexExprHeatmapSplit(obj.integrated, plotGOIs, group.by="idents", split.by="condition", include_all_clusters = TRUE, title="Heatmap of ISG Genes", scale.by="GLOBAL")
save_plot(p, "heatmap_split_isg_genes", 30, 10, save.data = FALSE)


```

Split heatmap plot, grouping the cells per cluster and split the results per condition. Scaled by all shown values (over all 3 groups).

```{r fig.width=30, fig.height=10}

p=makeComplexExprHeatmapSplit(obj.integrated, plotGOIs, group.by="idents", split.by="condition", include_all_clusters = TRUE, title="Heatmap of ISG Genes", scale.by="ALL")
save_plot(p, "heatmap_split_isg_genes_ALL", 30, 10, save.data = FALSE)


```

Split heatmap plot, grouping the cells per cluster and split the results per condition. Scaled per group/heatmap.

```{r fig.width=30, fig.height=10}


p=makeComplexExprHeatmapSplit(obj.integrated, plotGOIs, group.by="idents", split.by="condition", include_all_clusters = TRUE, title="Heatmap of ISG Genes", scale.by="GROUP")
save_plot(p, "heatmap_split_isg_genes_GROUP", 30, 10, save.data = FALSE)


```

This prepares the layout for the enhancedDotPlot. Per panel one entry in the plot elems with selected cells and a label is required.

```{r, fig.height=12, fig.width=16}

cells.control = cellIDForClusters(obj.integrated, "condition", c("CONTROL"))
cells.symptomatic = cellIDForClusters(obj.integrated, "condition", c("SYMPTOMATIC"))
cells.asymptomatic = cellIDForClusters(obj.integrated, "condition", c("ASYMPTOMATIC"))

plotElems = list()
plotElems[["Control"]] = list(cells=intersect(cells.control, cells.control), label="Control")
plotElems[["Symptomatic"]] = list(cells=intersect(cells.symptomatic,cells.symptomatic), label="Symptomatic")
plotElems[["Asymptomatic"]] = list(cells=intersect(cells.asymptomatic,cells.asymptomatic), label="Asymptomatic")

```


enhancedDotPlot of isg genes, scaled per all shown values.


```{r, fig.height=12, fig.width=16}

p=enhancedDotPlot(obj.integrated, plotElems, featureGenes = isgGenes, group.by="idents", title="DotPlot of ISG Genes", scale.by="ALL", rotate.x = T)
save_plot(p, "edotplot_split_isg_genes_ALL", 30, 10, save.data = FALSE)

```

enhancedDotPlot of isg genes, scaled globally (from ScaleData).

```{r, fig.height=12, fig.width=16}

p=enhancedDotPlot(obj.integrated, plotElems, featureGenes = isgGenes, group.by="idents", title="DotPlot of ISG Genes", scale.by="GLOBAL", rotate.x = T)
save_plot(p, "edotplot_split_isg_genes_GLOBAL", 30, 10, save.data = FALSE)


```

enhancedDotPlot of isg genes, scaled per shown group.

```{r, fig.height=12, fig.width=16}

p=enhancedDotPlot(obj.integrated, plotElems, featureGenes = isgGenes, group.by="idents", title="DotPlot of ISG Genes", scale.by="GROUP",rotate.x = T)
save_plot(p, "edotplot_split_isg_genes_GROUP", 30, 10, save.data = FALSE)


```

enhancedDotPlot of isg genes, scaled per feature (across all 3 shown groups).

```{r, fig.height=12, fig.width=16}

p=enhancedDotPlot(obj.integrated, plotElems, featureGenes = isgGenes, group.by="idents", title="DotPlot of ISG Genes", scale.by="FEATURE", rotate.x=TRUE)
save_plot(p, "edotplot_split_isg_genes_FEATURE", 30, 10, save.data = FALSE)


```

Compare symptomatic vs asymptomatic in all clusters (at TP1).

```{r}

cells.tp1 = cellIDForClusters(obj.integrated, "tp", c("TP 1"))

comparison.sympt_asympt = compareCellsByCluster(obj.integrated, intersect(cells.symptomatic, cells.tp1), intersect(cells.asymptomatic, cells.tp1), "symptomatic", "asymptomatic", outfolder="./de", group.by="idents", heatmap.plot=TRUE)

```

Visualize the above comparison using volcano plots.

```{r}

makeVolcanos(comparison.sympt_asympt, "Comparison Symptomatic vs. Asymptoamtic", "./de_volcanos/sympt_asympt_tp1", FCcutoff=0.25)

```

Perform enrichment analysis on the above DE comparison.

```{r}

gseResults = performEnrichtmentAnalysis(obj.integrated, comparison.sympt_asympt, "human", "./gse_results.rds")


```

Let's visualize the enrichment results using clusterProfiler.

```{r}

makeEnrichmentPlots( gseResults, outfolder = "enrichment_plots/" )


```

```{r}
print(sessionInfo())
```

```{r}
save.image("vignette_using_plosc.RData")
```

